MP3 to text free & accurate

Last updated: September 2026

Upload it and get the transcript back in a couple of minutes, no account, no watermark, no per-minute fee.

Plain transcript and subtitles right here. Bleeping, translation and burned-in subtitles live in the full tool.

Any MP3, straight to text, on a Mac, Android or anything else

Most "free" transcribers cap you at a few minutes a day or stamp a watermark on the output until you pay. ScribeGrab runs on our own GPU, so there's no cloud bill per minute: 10 recordings a day, individual files up to 60 minutes and 1.5 GB, about 100 languages auto-detected, and your upload is deleted the moment it's done.

MP3 is the format most recordings end up in, so ScribeGrab reads it directly, no converting first. Got a different file? WAV, M4A, FLAC, OGG, AAC and common video files all work the same way. See audio to text for the full format list, or voice to text if what you actually have is a phone voice memo. If what you want is to convert speech to text live from a microphone, that's dictation, which this isn't: it works from the MP3 files you already have. An mp3 to text transcription and an mp3 to text converter free of charge run the identical upload: MP3 in, TXT, SRT and VTT out.

It works the same on a Mac, an Android phone or a Chromebook, because it runs in the browser and there's no app to install. Want the timing? The SRT and VTT carry a timestamp for every line; the TXT is just the words, which is what you want for a document you can search. In Spanish, Dutch and Portuguese the word is gratis, and mp3 to text gratis here means the same free tier.

One speech model, around 100 languages

The AI is a speech recognition model on our own graphics cards, and every MP3 goes through it the same way, free or paid. If you're comparing an AI converter for MP3 to text, the useful test is your own file, not the label. English, Spanish, German, French, Dutch, Arabic, Bengali, Indonesian, Bulgarian, Danish, Chinese and about 90 more languages are detected automatically, so there is no per-language setup and no separate tier. The transcript comes back in the language spoken, ready for AI tools such as a chatbot or a summariser if you want to work with it further.

What actually happens to uploads here

MP3 to text was used 64 times in the 40 days to 21 August 2026: one of 1,647 tool runs across ScribeGrab in that window. Not every upload makes it through: 1,083 uploads were rejected before processing even started, most often for running over a limit rather than anything about the audio itself. Site-wide, the single biggest rejection reason was a file running past the 60-minute length limit (155 times); for file size specifically, "File too large (max 1500 MB)" came up 30 times. A separate 63 jobs failed partway through rather than being rejected outright: a rejection happens before the model ever sees the file, a failure happens during transcription itself.

How to convert MP3 to text: online, free, no sign up

1. Open ScribeGrab and click Open the tool.
2. Drag your MP3 in (up to 60 minutes / 1.5 GB).
3. Let our speech model transcribe it on our GPU.
4. Download the transcript as TXT, plus SRT/VTT if you want subtitles.

Whether you transcribe one file or several one after another, it's the same four steps. You can transcribe MP3 to text free online like this with no sign-up, and convert MP3 to text online free from a phone as easily as from a laptop. Getting MP3 to text free no sign up involved is the whole idea: there is no account screen at any point.

There is no MP3 to text converter free download to install here, on purpose: the page itself is the tool, and the MP3 to text online converter works in any browser. It's also not an MP3 to text converter free unlimited tool, and we'd rather say so up front: you get 10 recordings a day of up to 60 minutes each, with no per-file fee inside that. A free MP3 to text converter online usually hides its catch in a word count or a watermark; used as an MP3 to text converter online free of charge, this one has neither. Unlike a free online converter that turns MP3 into WAV, it turns the speech into words.

Related: AI humanizer, Free AI Text to Speech: Type It, Hear It, Download the MP3.

Just need the words? Use it as a text extractor: the TXT is the plain MP3 text extract, nothing else, and it's how you pull the text from a long recording to search it. This isn't an editor with playback and a timeline; pair the TXT with the SRT if you need to jump to a specific moment.

How accurate is it

On clear English speech about 2 words in 100 come out wrong in our own measurement. Strong accents, overlapping voices or noisy recordings are harder for every tool, so give those a quick proofread. We wrote a breakdown of how accurate AI transcription really is.

Bitrate matters less than you think. The room matters more.

The first thing people ask about an MP3 is whether it's high enough quality to transcribe. Almost always, yes. Speech recognition doesn't listen the way you do: the audio is resampled down to 16 kHz mono before the model ever sees it, because that's where the information in human speech lives. A 320 kbps stereo file and a 128 kbps mono file end up in nearly the same place, and even 64 kbps voice recordings usually transcribe fine. Bitrate is the wrong thing to worry about.

What actually decides your accuracy is the recording itself, and in rough order of damage: distance from the microphone (a phone on the table two metres away loses more than any codec ever will), overlapping speech, hard reverberation from a bare room with parallel walls, and steady background noise like air conditioning, traffic or a laptop fan. A close-miked 96 kbps recording beats a room-miked lossless one every time.

Which means the useful improvements are things you do before recording, not after. Move the recorder closer to whoever is talking. If two people are speaking, put it between them rather than in front of one. Turn off the fan. And if you already have the file and it's rough, transcribe it anyway: it's free and takes minutes, and you'll learn more from reading the result than from guessing whether it's worth trying.

MP3, or one of the other formats you might have

MP3 is the format people mean when they say "audio file", but it's rarely the only copy you have, and sometimes another one is better. If you have both, use the list below.

• WAV or FLAC, uncompressed or losslessly compressed. Use these if you have them; they're bigger but nothing has been thrown away yet. FLAC is roughly half the size of WAV for identical audio.
• M4A / AAC, what iPhone voice memos and most modern recorders produce. Slightly more efficient than MP3 at the same bitrate. Upload directly, no conversion needed.
• MP3, universal, and fine at any bitrate from 64 kbps upwards for speech.
• OGG / Opus, what WhatsApp voice notes and Discord recordings use. Excellent at low bitrates. Upload as-is.
• MP4, MOV, MKV, WebM, video files. There's no need to extract the audio first; the audio track is pulled out server-side.

Converting an MP3 to WAV before uploading does nothing except make the file bigger, because the information the MP3 discarded doesn't come back. Skip that step. Files up to 60 minutes each go through in one pass, and you get a plain text transcript plus SRT and VTT subtitle files from the same run, whether the source was audio or video.

What you get back, and which file to use

One MP3 in, three files out, all from the same pass. Pick whichever fits what you're doing:

• transcript.txt, plain running text, one line per sentence. This is the one you want for reading, searching, quoting, or pasting into a document.
• subtitles.srt, the same words with start and end timecodes in the format nearly every video platform and editor accepts. Useful even for pure audio: it's how you find where in a two-hour recording something was said.
• subtitles.vtt, the web-native flavour of the same thing, for an HTML5 player or a browser-based editor.

When more than one person is talking, the transcript also gets speaker labels. They're worked out from the voices themselves: the tool measures the character of each spoken segment and groups the similar ones together, so they're an informed estimate rather than a certainty. Two people with similar voices can end up merged, and one person who moves closer to and further from the microphone can be split in two. Treat the labels as a first pass you'll correct in a minute, not as a transcript of who said what in court.

Clean up the text in the right order

A transcript is never publishable as-is, whichever tool made it. Doing the tidy-up in this order takes a fraction of the time:

1. Fix the proper nouns first, with find-and-replace. Names, companies, places and jargon are what speech models get wrong most, and they get them wrong consistently, one mishearing repeats through the whole transcript. One replace-all per name fixes twenty instances.
2. Then read for sentence boundaries. Punctuation is inferred from pauses and intonation, so a speaker who trails off gets a full stop in an odd place. This is a quick read-through, not a rewrite.
3. Correct the speaker labels next, once you know the names: before you start cutting text around, while the structure still matches the audio.
4. Only then edit for readability: drop the filler words, tighten the repeats, cut the false starts. Do this last, because every earlier step is easier against a verbatim text.

Two things save more time than any of the above. Keep the SRT open next to the text: when a passage looks garbled, the timecode takes you straight to that second in the audio so you can listen instead of guess. And if you're recording the audio yourself, get the microphone close to the speaker: a phone lying on the table an arm's length away costs you more accuracy than any setting can give back, and it's the one variable entirely under your control.

By Sam Ridder, I build and run ScribeGrab on my own hardware, on my own. Who I am.

If you would like to see how other free services compare on length and daily limits, read our list of best free transcription tools.

Is there an unlimited MP3 to text option?

Not unlimited, but generous and free: no account, no watermark and no per-minute fee, with 10 recordings a day of up to 60 minutes each, resetting at midnight. If you have a longer MP3, a €5 ShinobiTools pass raises one file to 4 hours.

Frequently asked

More guides: transcribe a podcast · transcribe a lecture · transcribe a YouTube video · audio to text