Upload a file and get a clean transcript with timestamps or as plain text, in 99 languages. No signup, no credit card, no catch.
A focused tool built for one job: getting transcribe audio to text online, very fast and accurate.
Auto-detect the spoken language, or choose it manually for guaranteed accuracy. from Hindi and Spanish to Japanese and Arabic.
Toggle between timestamped segments or clean plain text, depending on what you need it for.
Runs on Whisper-large-v3-turbo network. most files finish in seconds, not minutes.
No account, no credit card. Just upload and go. up to 30 minutes of audio per day per visitor.
Play your audio back and watch the matching line highlight in real time. click any line to jump straight to it.
Download your transcript as plain text or as SRT subtitles, ready for video editors and captioning tools.
Drag and drop or browse for an mp3, wav, m4a, or ogg file.
Leave it on auto-detect, or choose the exact language for best accuracy.
Your file is split into short chunks and processed in parallel on powerful GPUs.
View your transcript with or without timestamps, play it back with sync highlighting, or download it.
Turn your episode audio into a script you can clean up into captions, show notes, or blog posts.
Transcribe lectures, interviews, or field recordings instead of typing everything by hand.
Get a searchable text record of a recorded meeting or voice memo in minutes.
Transcribe audio in the language you're learning and read along to check your understanding.
Quickly get a working transcript of a recorded interview before writing up your piece.
Export an SRT file straight out of your audio track and drop it into your editing timeline.
If you have ever sat down with a recorded interview, a lecture, or a podcast episode and tried to type out every word by hand, you already know how slow and tiring that process is. An audio transcriber takes that burden away by listening to your file and turning it into readable text in a fraction of the time it would take a person to do the same job manually. Whether you are a student, a content creator, a journalist, or someone who just recorded a voice memo on their phone, being able to transcribe audio to text in seconds instead of hours changes how you work with spoken content.
Our tool was built around one simple idea: getting text out of audio should not require software downloads, paid subscriptions, or a computer science degree. You upload a file, the system does the listening for you, and you get a transcript you can read, search, edit, or export.
You do not need any technical background to convert audio to text using this tool. The whole process was designed to feel as simple as sending an email attachment.
That's the entire workflow. There's no account to create and no software to install, which is part of why so many people use this as their go-to way to transcribe audio file uploads on a daily basis.
Plain text is useful, but sometimes you need to know exactly when something was said, not just what was said. That's especially true if you're editing a podcast, preparing video captions, or reviewing a recorded meeting and need to jump back to a specific moment. This is why every transcript from this tool can be viewed either as clean, continuous text or as timestamped segments you can click to jump straight to that point in the audio.
It's easy to assume transcription tools are only for journalists or transcriptionists, but in practice, the need to transcribe recording to text shows up in all kinds of everyday situations:
| Who | Why they transcribe audio |
|---|---|
| Content creators | Turning podcast or YouTube audio into captions, show notes, or blog posts |
| Students | Converting recorded lectures into notes they can search and revise from |
| Teams and managers | Getting a written record of a meeting instead of relying on memory |
| Language learners | Reading along with audio in a new language to check comprehension |
| Journalists and researchers | Working from an accurate interview transcript instead of re-listening for hours |
| Video editors | Generating subtitle files directly from a video's audio track |
If any of these sound like something you deal with regularly, a fast and free way to convert audio file to text can save a surprising number of hours over a month.
No speech recognition system is perfect, and it helps to know what genuinely affects accuracy. Clear speech, minimal background noise, and a single speaker all lead to strong results. Multiple people talking over each other, heavy accents combined with poor audio quality, or music playing under someone's voice will naturally make any voice to text transcription tool, including this one, less precise.
One honest limitation worth mentioning: this tool, like most speech recognition systems, is built and trained mainly on spoken language rather than singing. If you try to transcribe a song, you'll likely get a rough result rather than exact lyrics, simply because singing stretches words and blends them with instruments in ways that are much harder for any system to interpret cleanly. For regular speech, though, whether it's a conversation, a lecture, or a business call, results are typically very accurate.
Not everyone records or speaks in English, so this tool supports 99 languages, from widely spoken ones like Spanish, Hindi, and Mandarin to less common ones like Basque or Sindhi. You can either let the system automatically detect the spoken language or select it yourself from the dropdown for slightly more consistent results, especially with recordings that mix multiple languages together.
A lot of people assume they need to separately extract audio from a video file before they can transcribe it. That extra step isn't necessary here. You can upload a video file directly, and the audio track is automatically pulled out and processed, so you get the same clean transcript you would from an audio-only file.
The honest answer is time. A ten-minute interview can take thirty to sixty minutes to type out by hand, depending on how fast you type and how often you need to rewind. With an automated audio to text transcription tool, that same file is usually ready in well under a minute. That difference adds up fast if you're regularly working with recorded audio, whether that's weekly meetings, a podcast schedule, or ongoing coursework.
There's also the question of accuracy under fatigue. Manually transcribing long recordings gets tiring, and tired ears make more mistakes, especially with names, numbers, and technical terms. A consistent transcription tool doesn't get tired halfway through a two-hour recording the way a person naturally does.
A few small habits can noticeably improve your results:
None of these are strict requirements. The tool will still attempt to transcribe audio recorded in less than ideal conditions, but these habits tend to produce cleaner, more usable transcripts.
There's no signup wall, no credit card request, and no hidden catch. You get a generous daily allowance of free transcription, which is enough for most people's regular needs, whether that's a single interview, a handful of voice memos, or a short lecture recording. The goal was never to lock a useful tool behind a paywall before people even get to try it.
If turning spoken audio into written text is something you find yourself needing regularly, whether for content creation, studying, interviews, or simply keeping a record of what was said in a meeting, this tool was built to make that process as quick and painless as possible. Upload a file, choose a language if needed, and let it do the listening for you.
Yes. There's no signup and no payment required. Each visitor gets 30 minutes of audio transcription per day at no cost.
MP3, WAV, M4A, and OGG all work out of the box. Your browser handles the decoding before anything is sent for transcription.
It can, but accuracy is noticeably lower than on spoken audio. Whisper is trained mainly on speech, so singing and heavy instrumentation are harder for it to transcribe cleanly.
For clear speech in a supported language, accuracy is generally very high. Background noise, heavy accents, or overlapping speakers can reduce accuracy, as with any speech recognition system.
Your original file stays in your browser for playback. Audio chunks are sent to our server only for the moment it takes to transcribe them and are not kept afterward.
Yes. There's a language dropdown with all 99 supported languages. Selecting the exact language usually gives more reliable results than auto-detect.
No signup. No credit card. Just upload and get your transcript.
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