How to transcribe a voice note into text in seconds
The fastest way to turn a WhatsApp voice note into clean, readable text.
Upload a voice note, meeting, lecture or video and get clean text back in seconds. Powered by an advanced AI speech engine. Free, no login, no watermark.
MP3. Files up to 100 MB. Supported: MP3, WAV, M4A, AAC, FLAC. Timestamps come back in order under View SRT.Getting text out of audio takes seconds. Here is the full walkthrough plus tips for the most accurate result.
A small tool with a lot packed in. Here is what you get and why each part matters.
Runs on a fast cloud engine, so even long recordings come back quickly, not in minutes.
Uses an advanced speech model. Clean, punctuated text, not rough guesses.
From English and Urdu to Arabic, Hindi and Spanish. English is the most accurate, big languages are close behind.
Speak any language and get the transcript in English in one step.
Turn on timestamps and get a ready-to-use SRT subtitle file with timings, perfect for videos.
mp3, wav, m4a, ogg, opus, webm, flac and mp4 video. WhatsApp voice notes work as-is.
The heavy lifting happens on the cloud engine, so the site itself stays fast and simple.
No sign up, no watermark, no credit card. Upload, transcribe, download.
Students turning lectures into notes. Journalists transcribing interviews. Creators making subtitles. Anyone who gets a long voice note and would rather read it. It stays fast, free and accurate for all of them.
99 languages in total. English is the most accurate of all. The high-resource languages below are very strong, and every other listed language is supported and works well, especially with the Accurate model.
Quick answers to the things people ask most.
Yes. Upload, transcribe and download at no cost. There is no account needed and no watermark on your text.
Seconds for most files. It runs on a fast cloud engine, so you are not waiting minutes even for longer audio.
Up to 100 MB per file. Supported formats are MP3, WAV, M4A, AAC and FLAC. For the fastest and cleanest result, upload an MP3.
99 in total. English is the most accurate. Major languages like Spanish, French, German, Arabic, Hindi and Chinese are very strong. Urdu and many others are supported and work best with the Accurate model.
English. It has the highest accuracy of every language. Other high-resource languages are close behind.
mp3, wav, m4a, aac, ogg, opus, webm and flac, plus mp4 video. WhatsApp voice notes (.opus) work directly.
Yes. Turn on Timestamps before transcribing and you also get a standard SRT subtitle file with timings.
Yes. Turn on Translate to English and the transcript comes back in English no matter what language was spoken.
No. Your audio is sent to the transcription engine only to produce the text and is not saved by us. See the Privacy Policy for detail.
Short, practical reads on transcription, subtitles, and getting clean text out of any audio.
The fastest way to turn a WhatsApp voice note into clean, readable text.
Small choices in audio quality, language and model that make a big difference.
Why Large v3 matters for these languages and how to get the cleanest result.
Turn timestamps on, export an SRT and drop it straight into your editor.
This transcriber uses an advanced AI speech engine, so you get top accuracy in seconds without any heavy software on your side.
When you upload audio, it is processed by our speech engine, which turns it into text and sends it straight back. The whole thing is designed to be fast, accurate and simple to use.
| Fast | Very fast · great accuracy · the default for most audio |
| Accurate | Highest accuracy · best for Urdu/Hindi, accents and noisy audio |
| English | Fastest · English only |
Turn on Translate to English and, after the audio is transcribed, the text is translated into English for you. Perfect for foreign-language voice notes and clips.
Get the transcript of any YouTube video from one simple endpoint. Free, no key, no login. Send a link, get clean text back as JSON.
Send a POST request with a JSON body containing the youtube link.
POST /api/transcribe Content-Type: application/json { "youtube": "https://youtu.be/VIDEO_ID" }
| youtube required | The YouTube video URL (youtube.com or youtu.be). |
| translate | "1" to translate the transcript into English. Optional. |
{
"text": "full transcript text …",
"language": "auto"
}
curl -X POST https://YOURSITE/api/transcribe \ -H "Content-Type: application/json" \ -d '{"youtube":"https://youtu.be/VIDEO_ID"}'
const res = await fetch("/api/transcribe", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ youtube: "https://youtu.be/VIDEO_ID" }) }); const { text } = await res.json();
{ "youtube": "https://youtu.be/VIDEO_ID", "translate": "1" }
Notes: works with videos that have captions. One link per request. Returns plain text; timestamps are not available for links.
AHM7 builds small, useful web tools that do one job well. The audio to text transcriber is one of them.
Audio is everywhere, voice notes, meetings, lectures, interviews, but reading is faster than listening and text is easier to search, quote and share. So we built a tool that turns speech into clean text in seconds, without asking you to sign up or pay.
It uses an advanced AI speech engine, so it is quick and accurate. Over time it grew language detection, translation, subtitle export and a choice of models. The goal has stayed the same: keep it fast, keep it free, and keep it simple.
Questions, feedback, bug reports or ideas for a new feature, we read everything.
Last updated: July 2026.
When you transcribe a file, the audio is sent through our server to a cloud speech engine so it can be turned into text, and the text is returned to you. We do not save your audio or the resulting transcript to a database, and we do not use them to build a profile of you.
Transcription is performed by a secure AI processing service. Your audio is used there only to produce the transcript and is not linked to your identity. We do not send any personal account information with your audio.
Our servers may record standard technical information such as browser type, device type, approximate region and the time of a request, used to keep the service running and prevent abuse. It is not tied to your identity.
We may use basic analytics to see which pages are visited. If advertising is shown, third-party partners such as ad networks may use cookies to serve and measure ads. You can control cookies in your browser settings.
This tool is a general-audience utility and is not directed at children under 13.
Questions about privacy can be sent to hello@ahm7.tech.
Last updated: July 2026. By using this site you agree to these terms.
The transcriber is provided for personal and lawful use. You are responsible for the audio you upload and for how you use the transcripts. Only upload audio you have the right to transcribe.
Transcripts are produced automatically and may contain errors, especially with noisy audio, strong accents or low-resource languages. Review important transcripts before relying on them.
We provide the service as is, without guarantees of uptime, accuracy or fitness for a particular purpose. Features may change over time.
The site design, code and brand are owned by AHM7. The speech models belong to their creators and are used under their licences. Your audio and transcripts remain yours.
To the extent allowed by law, AHM7 is not liable for any loss or damage arising from your use of the site or the transcripts it produces.
Questions can be sent to hello@ahm7.tech.