Murf Release Notes

Last updated: Dec 23, 2025

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    What Is Text To Speech | 2026 Guide

    A sleek overview of text to speech from history to cutting edge neural voices and future trends like emotional and singing TTS, ending with Murf Falcon AI voice API for real time, multilingual, scalable TTS ready for developers.

    Text to speech (TTS) technology converts text into natural-sounding speech, enhancing accessibility, learning, and productivity. From early rule-based systems to AI-powered neural networks, TTS has evolved significantly. Future innovations include emotional and singing TTS.

    Have you ever wished you could listen to your favorite book while cooking dinner or have your emails read aloud during your commute? That's the power of text to speech, a technology that transforms written words into spoken language.

    This article will explore the world of text to speech, explaining how it works, its diverse uses, and the many benefits it offers. We'll delve into how TTS empowers individuals with visual impairments, provides alternative learning methods for those with reading difficulties, and offers hands-free content consumption for everyone.

    What Is Text to Speech (TTS)?
    Text to speech converts written words into spoken language. Using AI and machine learning algorithms, TTS models analyze text, applying linguistic rules and pronunciation dictionaries to create natural-sounding speech. This allows users to hear articles, emails, or any digital text read aloud, enhancing accessibility and offering a hands-free way to consume digital information.

    The Evolution of Text to Speech Technology
    The journey of text to speech technology began with early attempts to create "speaking machines." In the late 18th century, Wolfgang von Kempelen's "Acoustic-Mechanical Speech Machine" proved that speech synthesis was possible, though through intricate mechanical means. Later, in the 1930s, Bell Labs developed the Voder, a keyboard-operated device that could produce recognizable speech sounds. These early innovations laid the groundwork for future TTS developments.

    The invention of computers in the mid-20th century spurred significant advancements in speech synthesis. Researchers began exploring computational methods for analyzing and synthesizing speech, leading to the development of rule-based systems that used linguistic rules and phonetic transcriptions. As computers became more sophisticated, so did TTS systems.

    The late 20th and early 21st centuries saw the rise of concatenative synthesis, which used recorded speech fragments to create more natural-sounding output. More recently, the application of artificial intelligence and machine learning has revolutionized TTS, enabling the creation of highly realistic and expressive synthesized speech, marking a new era in this ever-evolving technology.

    How Does Text to Speech Work?

    Text to speech systems employ a complex process to convert written text into audible speech, typically involving distinct stages of analysis and synthesis.

    1. Text preprocessing:
    • The initial phase involves normalizing the input text. This includes tasks such as:
      • Tokenization: Segmenting the text into individual words, sentences, and punctuation marks.
      • Normalization: Expanding abbreviations (e.g., "Dr." to "Doctor"), converting numerals to their spoken equivalents (e.g., "10" to "ten"), and resolving other textual ambiguities.
    • This preprocessing ensures that the text is in a consistent and machine-readable format for subsequent analysis.
    1. Linguistic analysis:
    • This stage delves into the linguistic properties of the preprocessed text:
      • Phonetic Transcription: Converting words into their corresponding phonemes (basic units of sound), often using pronunciation dictionaries.
      • Prosody Analysis: Determining the intonation, rhythm, and stress patterns of the speech, which contribute to its naturalness.
      • Syntactic Analysis: Analyzing the grammatical structure of sentences to improve the accuracy of prosody and pronunciation.
    1. Speech synthesis:
    • The core of TTS lies in synthesizing speech from the linguistic representation:
      • Acoustic modeling: Using statistical or neural network models to predict the acoustic features of the speech, such as spectrograms (visual representations of sound frequencies) or mel-frequency cepstral coefficients (MFCCs).
      • Vocoding: Transforming the acoustic features into an audible waveform. This process involves generating the actual sound signal that represents the spoken words. Modern TTS systems often use neural vocoders, which are capable of producing highly realistic and natural-sounding speech.
      • Neural networks, especially deep learning models like Tacotron 2 and WaveNet, have significantly improved the quality of speech synthesis. These models learn complex relationships between linguistic features and acoustic parameters, enabling the generation of more expressive and human-like speech.

    In essence, TTS systems combine sophisticated linguistic analysis with advanced acoustic modeling and vocoding techniques to produce synthetic speech that closely resembles natural human speech.

    Types of Text to Speech Tools
    Text to speech technology is available in a variety of forms, each catering to different needs and preferences. From simple built-in features to sophisticated cloud-based solutions, there's a TTS tool for almost every situation. Here's a breakdown of the common types:

    • Built-in TTS: Basic TTS features integrated into operating systems or devices. Examples include Siri, Alexa, Narrator (Windows), VoiceOver (macOS). Pros: Convenient, readily available, often free. Cons: Limited customization, basic features, may not be high-quality. Best for casual users who need occasional text read aloud or those exploring TTS for the first time.

    • Dedicated TTS software: Standalone applications designed specifically for TTS conversion. Examples: NaturalReader, Read&Write, Kurzweil 3000. Pros: Advanced features (multiple voices, adjustable speed, text highlighting), often offline functionality. Cons: Can be expensive, requires installation, may have a learning curve. Best for students, writers, and professionals who regularly use TTS with longer documents.

    • Online TTS tools/websites: Platforms offering TTS through a web browser. Examples: Murf.ai, Speechify, NaturalReader Online. Pros: Accessible from any device with internet, often offer free plans. Cons: Requires internet connection, limited features in free versions. Best for quick TTS access without installation, trying out different voices, or when software installation isn't possible.

    • Mobile apps: TTS applications designed for smartphones and tablets. Examples: Voice Dream Reader, @Voice Aloud Reader, Narrator's Voice. Pros: Portable, convenient for listening on the go, often integrate with other apps. Cons: Functionality varies, some require subscriptions, battery drain. Best for listening to content on the go, during commutes, workouts, or travel.

    • TTS engines: Underlying technologies that power TTS. Examples: Amazon Polly, Google Cloud Text-to-Speech, Microsoft Azure Cognitive Services. Pros: High-quality voices, customizable, scalable. Cons: Used by developers for integration, not typically used directly by end users, requires programming knowledge. Best for software developers and businesses integrating TTS into their products or services.

    • Screen readers: Software designed to assist visually impaired users by reading screen content aloud. Examples: JAWS, NVDA, VoiceOver (macOS). Pros: Comprehensive access to digital content, essential for accessibility. Cons: Can be complex to learn, may require specific hardware, some are costly. Best for visually impaired individuals who rely on auditory access to digital information.

    • APIs and cloud-based TTS: Services offering TTS through APIs, often hosted in the cloud. Examples: Google Cloud Text-to-Speech, Amazon Polly, IBM Watson Text to Speech. Pros: Scalable, flexible, high-quality voices. Cons: Requires programming knowledge, internet connection required, potential cost for usage. Best for developers, businesses, organizations needing high-volume, customizable TTS for applications or services.

    • Specialized TTS: TTS tools designed for specific purposes. Examples: Medical transcription software with TTS, language learning apps with pronunciation feedback. Pros: Tailored to specific needs, enhanced accuracy for particular tasks. Cons: May not be suitable for general use, limited availability. Best for professionals in specific fields, like medical or language learning, who require specialized features.

    Ways To Use Text to Speech
    Text to speech technology is a versatile tool with a large range of practical applications. From boosting productivity to enhancing accessibility, TTS can make a real difference in how we interact with digital information. Let's explore some of the many ways people use text to speech in their daily lives.

    Accessibility
    Text to speech assistive technology breaks down barriers and opens doors for individuals with diverse needs. Here are some of the ways TTS empowers accessibility:

    • Screen readers: TTS powers screen readers, which provide auditory access to digital content for users with visual impairments by transforming on-screen text into spoken words.
    • Reading assistance: TTS serves as an important reading assistance tool, enabling individuals with dyslexia or other reading disabilities to comprehend written information more effectively.
    • Alternative communication: TTS facilitates alternative communication for those with speech impairments, allowing them to express themselves through synthesized speech.

    Content Creation
    Text to speech isn't just for consuming content; it's a powerful tool for creating it, too. Whether you're polishing a script or brainstorming new ideas, TTS can be an invaluable asset for content creation in ways like:

    • Proofreading and editing: Listening to your written work read aloud helps catch errors, awkward phrasing, and inconsistencies that you might miss when reading silently.
    • Scriptwriting: TTS allows writers to hear their dialogue and narration, helping them refine pacing, tone, and character voices.
    • Voiceover prototyping: Content creators can use TTS to create temporary voiceovers for videos, presentations, or audio projects before hiring professional voice actors.
    • Brainstorming and idea generation: Listening to text-based ideas or notes read aloud can spark new thoughts and perspectives.

    Entertainment and Media
    Text to speech has moved beyond simple utility and found a place in the vibrant world of entertainment and media. From enhancing immersive experiences to creating innovative content, TTS is adding a new dimension to how we engage with stories and information:

    • Video game voiceovers: TTS can create temporary or even permanent character voiceovers for non-player characters (NPCs), especially in indie games or those with limited budgets.
    • Audiobooks and podcasts: TTS is used to generate audio versions of written content, like audiobooks.
    • Animated content: TTS can provide voiceovers for animated shorts or series, offering a cost-effective alternative to human voice actors.
    • Virtual assistants: Interactive entertainment, such as virtual reality experiences or chat-driven games, utilize TTS to create engaging and responsive characters.
    • Interactive storytelling: Choose-your-own-adventure narratives or interactive fiction can use TTS to provide dynamic and personalized audio experiences.
    • Social media content: TTS can create audio versions of social media posts, making content more accessible and engaging.
    • Museum and exhibit audio guides: TTS can provide audio descriptions and explanations for museum exhibits and art installations.

    Education and Learning
    Text to speech is revolutionizing education by providing personalized and accessible learning experiences. From aiding students with learning disabilities to enhancing language acquisition, here are a few ways educators are experimenting with TTS:

    • Assisting students with learning disabilities: TTS helps students with dyslexia, ADHD, and other learning disabilities by providing auditory support for reading and comprehension.
    • Language learning: TTS aids in pronunciation practice and language acquisition by providing accurate and consistent audio examples.
    • Reading comprehension: Students can listen to textbooks and other materials read aloud, improving comprehension and retention.
    • Note-taking and study aids: TTS can convert written notes into audio summaries, making them easier to review and study.
    • Personalized learning: TTS allows students to customize their learning experience by adjusting reading speed, voice, and other settings.
    • Online learning: TTS integrates with e-learning platforms to provide audio versions of course materials and assignments.
    • Early literacy development: TTS can help young learners develop phonemic awareness and reading skills.

    Business and Communication
    In the fast-paced world of business and communication, text to speech is proving to be a powerful application for efficiency and accessibility. Here’s how it’s being utilized in a professional setting:

    • Customer service chatbots: TTS enables chatbots to provide natural-sounding voice responses, improving customer interactions.
    • Automated phone systems: TTS is used in interactive voice response (IVR) systems to provide information and guide callers.
    • Internal communication: TTS can convert written memos, reports, and emails into audio format for convenient listening.
    • Presentations and training materials: TTS can generate audio versions of presentations and training modules, making them more accessible and engaging.
    • Marketing and advertising: TTS can create voiceovers for audio advertisements and promotional videos.
    • Multilingual communication: TTS can translate and vocalize written content in multiple languages, facilitating global communication.
    • Voice-enabled applications: Businesses are integrating TTS into voice-activated applications for hands-free operation.
    • Data entry and reporting: TTS can read aloud data and reports, allowing employees to verify information and identify errors more efficiently.

    Personal use
    From enhancing convenience to providing relaxing audio experiences, TTS can seamlessly integrate into your daily routines. Here are some ways you can incorporate TTS into your personal life:

    • Listening to articles and blog posts: Catch up on your reading while commuting, exercising, or doing chores.
    • Relaxing with audiobooks: Convert eBooks or online articles into audiobooks for a hands-free listening experience.
    • Managing to-do lists and reminders: Convert written lists and reminders into audio alerts.
    • Accessing personal documents: Convert scanned documents or photos of text into audio for easier access.
    • Creating personalized audio content: Convert your favorite poems, quotes, or stories into audio recordings.

    Benefits of Text to Speech
    Text to speech technology can significantly improve how we interact with the digital world. From boosting accessibility to increasing productivity, TTS hosts a number of benefits, like:

    • Accessibility for all: TTS tears down barriers to information, ensuring everyone, regardless of visual or learning differences, can access and enjoy digital content. It's a powerful asset for inclusivity and making the online world more equitable.
    • Increased productivity and efficiency: TTS frees you from the screen, allowing you to multitask effectively. Listen to documents, articles, or emails while tackling other tasks and maximizing your time.
    • Simplified content creation: TTS streamlines content creation by providing tools for efficient proofreading, generating voiceovers, and even brainstorming new ideas.
    • Enhanced learning: TTS transforms the learning experience, offering personalized options for reading speed and voice, aiding comprehension, and supporting language acquisition. It caters to diverse learning styles and needs.
    • Better customer service: TTS empowers businesses to provide efficient and engaging customer service through IVR systems and chatbots, enhancing customer satisfaction and streamlining communication.

    What Does the Future Hold for Text to Speech?
    The future of TTS has so much potential, and it’s getting more advanced every day. Here are some amazing developments that are happening with this technology:

    • Advancements in neural TTS: Remember those robotic voices that sounded like they had a cold? Well, forget about them. With neural TTS, we will now have computer-generated voices that sound almost human-like. They can talk like we do, with the right tone, pitch, and emphasis. Neural TTS uses deep neural networks to learn from human speech data and generate natural human-like speech from text.
    • Emotional TTS: Speaking clearly is not enough; you also need to express emotions. That’s what emotional TTS technology can do. Emotional TTS adds emotions like happiness, sadness, or anger to computer-generated speech, making it more expressive and engaging. This technology can help create more immersive and realistic experiences for listeners when used in applications like games, podcasts, or even short films.
    • Singing TTS: Who doesn’t love singing? Well, now you can sing with TTS, too! This technology has fantastic potential for the music industry, as it can create original songs, covers, or parodies. Singing TTS can also be used for entertainment, education, or personalization.

    As these technologies evolve, achieving a seamless and authentic experience is critical.

    Mark Howorth, CEO of VSI Group, explains the goal of localization technology here:
    “When we’re creating localization, our ultimate goal is for [the audience] to think that it was originally shot in that language.”

    This mindset is essential as TTS and localization technologies advance, ensuring that synthetic voices feel as natural and integrated as possible, bringing a truly immersive experience to global audiences.

    Interested in trying text to speech? Check out our free Text to Speech Generator to start generating ultra-realistic voices in over 20 languages.

    Meet Murf Falcon: The Fastest, Most Efficient Text to Speech API
    Meet Murf Falcon: The Fastest, Most Efficient Text to Speech API
    Murf Falcon is engineered to deliver human-like speech at an industry leading model latency of 55 ms across the globe. Use Falcon to deploy AI voice agents that not only talk like regular humans, but also deliver the speech at blazing fast speed with ultra precision.

    Falcon is the only TTS API that consistently maintains time-to-first-audio under 130 ms across 10+ global regions, even when processing up to 10,000 calls at the same time. Falcon delivers uninterrupted, natural speech. No lag, no clipped phrases, no robotic tone.

    Engineered for Real-Time Performance
    Falcon’s architecture is tuned specifically for ultra-low latency and responsiveness:

    • Model latency under 55 ms
    • Time-to-first-audio under 130 ms
    • Edge deployment across 10+ regions for global consistency

    Its lightweight, compute-efficient model outperforms larger LLM-based TTS systems on context precision and response timing delivering premium naturalness without inflated infrastructure demands.

    Human-Like Speech, in Any Language
    Falcon ensures voices sound fluent and expressive:

    • 35+ languages, 150+ expressive voices
    • Code-mixed multilingual output without accent distortion
    • 99.38% pronunciation accuracy
    • Conversational prosody for natural tone, rhythm, and pauses

    Falcon separates how words are pronounced from the unique qualities of the speaker’s voice, preventing odd tone changes. This also enables the voice to switch languages smoothly in the middle of a sentence.Your AI voice doesn’t just speak multiple languages, it sounds native in each.

    Integrates in Minutes
    Falcon fits easily into modern development stacks:

    • RESTful API
    • Python, JavaScript, and cURL SDKs
    • Works with Twilio, Anthropic Claude, Discord, and more

    Go from API key to live call in minutes, no complex provisioning or specialized infrastructure needed.

    Stable and Cost-Efficient at Scale

    • Supports 10,000+ concurrent calls with no latency drop
    • Predictable performance worldwide via edge routing
    • On-prem deployment option for full internal control
    • Priced at 1¢ per minute, reducing voice agent costs by up to 50%

    Fast everywhere. Accurate always. Affordable at scale.
    Try Murf Falcon now!

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    How To Add Text To Speech Voiceovers To Instagram Reels

    Instagram Reels now support built in text-to-speech to make voiceovers quick and accessible, while Murf AI adds natural voices and a new Falcon TTS API for ultra fast, scalable voice deployments across languages. A creator friendly release with richer, faster voice options.

    Instagram Reels and Text-to-Speech

    Instagram Reels are a powerful tool to boost visibility and engagement. Learn how to create captivating voiceovers with Instagram's text-to-speech feature or Murf AI for professional-quality results, making your content accessible, engaging, and share-worthy.

    Since Instagram introduced Reels in 2020, there has been a huge buzz around the feature. So much so at it still strongly contributes to maximizing visibility of any business/content on Instagram. Did you know that 86% of consumers say they’d recommend or try a product when it’s ’shareable’ – and Reels are a "sharing favorite" among Instagram users. As they say if you Feel it Reel it!

    There are 2 billion monthly active users on Instagram and this figure continues to grow. These active users can see reels content on the explore page, and in their own feed. So why not create engaging Reels for your audience to see?

    One of the most interesting ways for creating engaging short videos is by using Instagram's text to speech feature, you can add a voiceover to your Reel without uttering a single syllable!

    Just type your script, choose your preferred voice, and voila! You've got a killer voiceover to go with your reels. You can add whimsical, robotic voice effects to a content about sci-fi or distort your voice to sound like you inhaled helium. The creative opportunities are endless. Whether you're a business owner, content creator, or just looking to spice up your social media game, the text to speech feature is a must-have in your arsenal.

    How to Use Text to Speech Feature in Instagram Reels

    If you're an Instagram app user, you can now add voiceovers to your reels using the application's new text to speech feature. It's really simple to use, and here's how:

    • First, you can add the text when creating a reel on Instagram app.

    How to add text to your reels

    • Step 1: Launch Instagram app. Begin creating a reel.
    • Step 2: After recording a reel or choosing a short video clip to add to your reel, tap the "Aa" text symbol at the bottom panel.
    • Step 3: Type in your text, then choose how you want your text to be shown.
    • Step 4: At the botton, tap the options for your text’s alignment, color, highlighting, and animation.
    • Step 5: Once you’re happy with your text, tap Done.
    • Step 6: On the screen, tap and drag your text you can also pinch to change the font size.

    After you add the text to your Instagram reels, you need to add audio to your text using the text to speech feature.

    How to Add Audio to your Text using the TTS Feature in Instagram Reels

    • Step 1: Long press on the text bubble.
    • Step 2: At the pop up menu, tap the option "Text-to-speech".
    • Step 4: Swipe up and down for more options for different voices on the basis of gender and style.
    • Step 5: You can select from different text-to-speech voices, and preview each sound.
    • Step 6: Once you’re happy with your audio, tap to select the voice you want to use and tap Done.
    • Step 7: Swipe up on your screen to open the timeline to check the and synchronize the text and audio.
    • Step 8: Once you are happy with the output click on the top right arrow button to publish your reel for the world to see!

    Note: The Text to Speech in Reels is currently only available in English in the following countries where captions are available: United Kingdom, United States, Canada, Australia, New Zealand, Singapore, Ireland and India (English only)

    The Benefits of Using Text to Speech on Instagram Reels

    So, why should you use Instagram's text to speech feature for Reels? Here's why you should consider using it:

    Accessibility - Instagram Reels for All

    Using text to speech makes Instagram Reels more accessible. It is an excellent way to make your content more accessible and inclusive for visually impaired individuals, people with ADHD, Dyslexia, as well as other disabilities. By including voiceovers with text, these people can enjoy content on Reels and engage with the content.

    Reach a wider audience - The World is your Audiance

    By utilizing the Instagram text to speech feature, businesses and influencers can create voiceovers in various voice styles would help maximize social media marketing efforts. The TTS Feature in Instagram enables users to add a funny commentary and a surprise element to their Reels, helping capture the viewer's attention and making the content more interactive and thereby increasing engagement and improving the overall user experience.

    Save time - Cuts the Clock in Half

    Time is a valuable commodity in the world. By using text to speech in reels, content creators can save time by quickly converting their text into audio. This can be especially useful for businesses and influencers where content creation is in high volume. By streamlining the content creation process, TTS helps the Instagram user devote more time to other aspects of their business, such as engagement and analysis.

    Limitations of Using Instagram Text To Speech

    In spite of the benefits, Instagram text to speech features offers, it has the following limitations:

    • Lacking Naturalness: The speech generated by the new feature can sometimes sound robotic and unnatural, which might liked by users who prefer human-like voices.
    • Customization Shortage: The feature may sometimes mispronounce certain words. It needs help to accurately interpret the intended tone or emotion behind the text, which can result in inappropriate or confusing speech. For example, the word "live" can be pronounced as "liv" or "laive" depending on the context.
    • Language Limitations: The text to speech feature on Instagram currently only offers English language and two voices, both of which have similar accents: Voice 1a female voice, and the Voice option 2a male voice. This lack of diversity in different voices can be limiting and less inclusive for users from different linguistic backgrounds.

    Why Should You Use Murf for Text to Speech to Reels?

    Murf is the perfect choice for anyone who wants to create high-quality voiceovers for their videos or audio projects. With its realistic-sounding voices, custom pronunciation options, a wide variety of voices and a range of languages and accents, an AI translation feature, and many more, it stands out from the crowd as a top-notch TTS solution for your Instagram Reels.

    Realistic-Sounding Voices - So Authentic, You’ll Forget It’s AI

    Say goodbye to robotic and unnatural TTS voices! Murf generates voiceovers that sound like real people across different ages and accents, making your content feel more authentic and relatable. Murf can customize the pronunciation of words and capture nuances like speed and pitch, which makes the speech sound more natural and human-like. These features make it perfect for creating engaging, authentic, and relatable content. Whether you're building an Instagram brand, podcast, videos, or audiobook, Murf's ultra-realistic voices will captivate your audience and keep them engaged from start to finish.

    Custom Pronunciation - Your Words, Your Way

    With Murf, you can customize the pronunciation of your voiceovers, ensuring that they sound just the way you want them. Murf offers users two ways to change the pronunciation of words in their scripts. The first is to type in an alternative spelling, while the second is to use intelligent suggestions that provide a range of IPA's. So, whether you're creating content for a specialized audience or need to ensure that technical terms are pronounced correctly, Murf has you covered.

    Languages and Accents - The World is Listening

    Murf has more than 20 language options and accents to choose from, so you can create content for people worldwide. Whether you need to create content for an international audience or want to offer your content in different languages, Murf makes it simple. With 200+ natural-sounding AI voiceovers available, Murf ensures that everyone can engage with your content.

    Say It My Way Feature - Put Your Spin on Every Word

    Want to create a voiceover that sounds like a specific person? Murf's ”Say It My Way” is one of the unique new features that makes it possible. Murf's With ‘Say It My Way’, you can record your rendition of the line to voice-direct the model to capture the intonation, pace, and pitch of your recorded speech. This feature accurately reproduces the exact length and emphasis of each word and pause you make, enabling your selected Murf voice to echo your style .

    Voice Changer - Level up your Sound Game

    One of the great things about Murf's text to speech voice changer is that you don't need professional recording tool or a sound-proof studio to create stunning voiceovers you only need your computer and an internet connection. With Murf, you can record your voice from anywhere, following a fixed script or freestyling. And once you've uploaded your voiceover, Murf's studio-quality Voice changer lets you edit out any unwanted parts of the recording before generating a new voiceover that sounds polished and professional.

    Voice Editing - Get that Perfect Pitch

    Murf converts your recorded voice into editable text format, allowing you to delete any unwanted parts just like in a text document. The smart transcription feature automatically saves the timestamp of every word, making it easy to edit and split the content into logical text blocks. The accurate timing ensures that your edited audio file is precise and ready to use without further editing.

    Murf's voice editing capability allows users to change the style or voice of an already recorded voiceover to a professional-sounding AI voice in minutes by removing the background noise, filler words, and more. You can even customize the pitch and narration speed, add pauses, or emphasize certain words in your script.

    Moreover, Murf provides a music and a video gallery where you can select free background music or video or you can upload your content and adjust the ratio of voice to sound for your final rendered content.

    Add Voiceovers to your Instagram Reels using Murf AI

    Adding voiceover has never been faster or easier than this. Just imagine on a single platform you can now add your video, synchronize it to your high quality voiceover and add music. Once that is ready all you need to do is upload it to your Reels and add your preferred voice effects. Let’s explore how to add your video with voiceover to your Instagram Reels.

    • Step 1: Open Murf Studio
    • Step 2: Create Project
    • Step 3: Choose your preferred voice. You can choose on the basis of gender, age, style and use case.
    • Step 3: Add your text (It is recommended that you choose “Split Script by Sentences”)
    • Step 4: Edit your text for your preferred pitch, speed, pronunciation, variability, emphasis
    • Step 5: Click on “Add Media”. You can Upload your 60-90 secs video, add your music or use stock images or videos or music.
    • Step 6: Click on the “ Λ Timeline” to synchronize the text and the video.
    • Step 7: Click on the “Export” button
    • Step 8: Select Export Format as “Video” and “.MP4”
    • Step 9: Click on “Download”
    • Step 10: Upload the “.MP4” File on Instagram Reels add your preferred voice effects and you are done!

    The integration of TTS technology with different voice effects on Instagram offer a promising trend for improving accessibility and enhancing the platform's user experience. Murf simplifies the process of creating high-quality voiceovers for Instagram reels and other social media accounts such as youtube. With its natural-sounding voices, accents, and voice controls, Murf offers a powerful solution for content creators to save time and effort. By embracing these technological advancements, businesses and influencers can widen their audience reach and stay ahead of the Instagram game.

    As more creators and businesses scale their voiceover workflows for Reels and other video content, Murf also offers a powerful real-time and high-volume solution that supports automation and global deployment: Murf Falcon.

    Meet Murf Falcon: The Fastest, Most Efficient Text to Speech API

    Meet Murf Falcon: The Fastest, Most Efficient Text to Speech API

    Murf Falcon is engineered to deliver human-like speech at an industry leading model latency of 55 ms across the globe. Use Falcon to deploy AI voice agents that not only talk like regular humans, but also deliver the speech at blazing fast speed with ultra precision.

    Falcon is the only TTS API that consistently maintains time-to-first-audio under 130 ms across 10+ global regions, even when processing up to 10,000 calls at the same time. Falcon delivers uninterrupted, natural speech. No lag, no clipped phrases, no robotic tone.

    Engineered for Real-Time Performance

    Falcon’s architecture is tuned specifically for ultra-low latency and responsiveness:

    • Model latency under 55 ms
    • Time-to-first-audio under 130 ms
    • Edge deployment across 10+ regions for global consistency

    Its lightweight, compute-efficient model outperforms larger LLM-based TTS systems on context precision and response timing delivering premium naturalness without inflated infrastructure demands.

    Human-Like Speech, in Any Language

    Falcon ensures voices sound fluent and expressive:

    • 35+ languages, 150+ expressive voices
    • Code-mixed multilingual output without accent distortion
    • 99.38% pronunciation accuracy
    • Conversational prosody for natural tone, rhythm, and pauses

    Falcon separates how words are pronounced from the unique qualities of the speaker’s voice, preventing odd tone changes. This also enables the voice to switch languages smoothly in the middle of a sentence.Your AI voice doesn’t just speak multiple languages, it sounds native in each.

    Integrates in Minutes

    Falcon fits easily into modern development stacks:

    • RESTful API
    • Python, JavaScript, and cURL SDKs
    • Works with Twilio, Anthropic Claude, Discord, and more

    Go from API key to live call in minutes, no complex provisioning or specialized infrastructure needed.

    Stable and Cost-Efficient at Scale

    • Supports 10,000+ concurrent calls with no latency drop
    • Predictable performance worldwide via edge routing
    • On-prem deployment option for full internal control
    • Priced at 1¢ per minute, reducing voice agent costs by up to 50%

    Fast everywhere. Accurate always. Affordable at scale.

    Try Murf Falcon now!

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    November 6, 2025

    New TTS Streaming Model Launch

    Falcon (Beta)

    • Sub-130ms time-to-first-audio for instant responses
    • Multilingual speech - Handles mixed-language sentences effortlessly, with native-like pronunciation and prosody.
    • Expressive prosody with 99.37% pronunciation accuracy
    • Data residency in 11 regions via streaming & WebSocket TTS endpoints
    • Learn more about Falcon here.
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    Murf

    September 19, 2025

    14 New Languages Added to Murf API

    Murf API now supports 14 additional languages, expanding its global reach and accessibility. The newly added languages are:

    • Malay
    • Filipino
    • Czech
    • Finnish
    • Thai
    • Vietnamese
    • French Canadian
    • Swedish
    • Telugu
    • Malayalam
    • Kannada
    • Marathi
    • Gujarati
    • Punjabi

    These languages come with high-quality voices and support for advanced features like Multilingual technology and voice customization. Explore the new voices in our or in our Voice Library.

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  • Jul 29, 2025
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      Jul 29, 2025
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    Murf

    July 29, 2025

    Enhanced Data Privacy with Zero Data Retention

    We've enhanced data privacy by allowing zero data retention. By setting the encodeAsBase64 parameter to true, you can receive synthesized audio as a Base64 encoded string directly in the API response, with zero data stored on Murf's servers.

    This feature is designed for applications handling sensitive information, ensuring that your data is not persisted after the API call.

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  • Jul 22, 2025
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      Jul 22, 2025
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    Murf

    July 22, 2025

    Original Text in Word Durations

    A new parameter, wordDurationsAsOriginalText, has been added to the /v1/speech/generate endpoint.

    By default, the wordDurations object in the API response contains normalized text. When you set wordDurationsAsOriginalText to true, the response will instead include the original, un-normalized text from your request. This allows for a direct mapping between your input text and the corresponding word-level timestamps.

    This feature is currently available for English only.

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  • Jul 18, 2025
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      Jul 18, 2025
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      Dec 23, 2025
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    Murf

    July 18, 2025

    Expanded Audio Format Support in TTS and Streaming

    We've enhanced our audio format support for both Text-to-Speech and Streaming APIs to provide you with greater flexibility.

    The format parameter in the Text-to-Speech API (/v1/speech/generate) now accepts PCM and OGG.

    The format parameter in the streaming API (/v1/speech/stream) now accepts PCM.

    These new options are available for immediate use.

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  • Jun 16, 2025
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      Jun 16, 2025
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    Murf

    June 16, 2025

    WebSocket streaming for our Text-to-Speech API enables real-time, low-latency voice synthesis over a bidirectional connection. Stream text and receive audio on the same channel with real-time control of voice style, speed, and pitch.

    WebSocket Streaming for TTS API

    We are excited to launch WebSocket streaming for our Text-to-Speech API. This feature enables developers to build real-time, low-latency voice experiences by streaming text and receiving synthesized audio over a persistent, bidirectional connection. It is ideal for applications like conversational AI, live chat support, and dynamic content narration where immediate audio feedback is crucial.

    Key features include:

    • Low-Latency Communication: Stream text and receive audio with minimal delay.
    • Bidirectional Streaming: Send text and receive audio on the same connection.
    • Efficient: Avoids the overhead of repeated HTTP requests for continuous audio synthesis.
    • Real-Time Control: Adjust voice style, speed, and pitch during the session.

    Learn more in our WebSocket Streaming documentation.

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  • May 8, 2025
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      May 8, 2025
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    Murf

    May 8, 2025

    New API Releases

    Voice Changer API

    Transform your audio recordings into lifelike AI voices with advanced controls for prosody, accent retention, and more. Learn more in the Voice Changer API Overview.

    Translation API

    Seamlessly translate text into multiple languages with high-quality results. Supports 23 languages and growing. Learn more in the Translation API Overview.

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  • May 7, 2025
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      May 7, 2025
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    Murf

    May 7, 2025

    Streaming Endpoint for TTS API

    We are thrilled to introduce the Streaming Endpoint for TTS API, enabling developers to generate and play text-to-speech audio in real-time with minimal latency. This feature is ideal for conversational AI, live applications, and other scenarios requiring immediate audio feedback.

    Learn more about the API in the Streaming TTS API Overview.

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