Audio to Text Converter
Upload a recording and get a transcript back with timestamps and speakers. Click any line to hear exactly where it was said, then export.
MP3, WAV, M4A or OGG · up to 30 minutes
Upload a recording you have the rights to transcribe. The transcript is yours; the audio is not kept after processing.
Tap any line to hear it. The line under the playhead lights up as the audio plays. This is what your transcript will look like.
01—How to
How to Transcribe Audio to Text in 3 Steps
No software, no waiting list, no typing along to a recording. The converter runs in the browser and hands you the transcript on its own page, with the player at the top and the export buttons where you expect them.
- 1
Upload the audio file
Drop in an MP3, WAV, M4A or OGG up to thirty minutes long. The length is read before anything uploads, and the page tells you whether today's conversion is free or what it costs.
- 2
Convert audio to text
Press Transcribe. The engine listens once, writes every word with the second it was said, and separates the speakers. A ten-minute file usually takes under a minute.
- 3
Check it against the audio, then export
The transcript opens beside a player. Click any line to hear it, search for a phrase, rename the speakers, and download plain text, timestamped text, SRT or VTT.
How long does audio to text take?
Roughly a tenth of the recording's length. A three-minute voice memo is back in seconds; a thirty-minute interview in a couple of minutes. The page shows a timer while it works, so you are never guessing.
02—The basics
What Is an Audio to Text Converter?
An audio to text converter is software that takes a finished recording and produces its transcript: every spoken word, the moment it was said, and who said it. It works on a file rather than a live microphone, so it can read the whole recording before deciding on any single word.
Audio to text vs. dictation
Dictation types while you talk and never sees the sentence as a whole. A converter reads the entire file, so punctuation lands in the right place, a mumbled word is resolved from the words around it, and each line gets a real timestamp. That is also why it can tell speakers apart: it hears the whole conversation before it labels any of it.
Why the recording matters more than the tool
Every transcription engine works on what the microphone captured. Music, traffic and room echo cost words. If a file is rough, clean it with the voice isolator first and convert the clean version; the difference in the transcript is larger than the difference between converters.
Which one do you need?
To type by talking, use the dictation built into your phone or document editor. To get the words out of a recording you already have, with timing and speakers, use this converter.
03—Click any line
Click Any Line to Hear It
Most converters hand you a wall of text and a separate player, and checking one word means scrubbing. Here the transcript and the audio are one thing, on one page, and every line knows the second it belongs to.
The transcript follows the playhead
As the audio plays, the line being spoken is highlighted and kept in view. Click another line and playback jumps to it. Verifying a quote takes two seconds.
Search, then listen
Type a phrase and the transcript filters to the lines that contain it. Click one and you are hearing that exact moment.
Timestamps from the audio itself
Each line carries the second it starts, measured, not estimated from reading speed.
Speakers you can rename
Two voices become Speaker 1 and Speaker 2. Rename them once and every line and every export updates.
04—What you get
What You Get From Audio to Text
One conversion produces four files, all built from the same timed segments, so the plain text, the subtitles and the timestamped version never disagree with each other.
Plain text
Paragraphs broken where the speaker paused or changed, ready to paste into notes, a document or an email.
Timestamped text and subtitles
The same lines with start times, or SRT and VTT files that drop straight onto a video timeline.
Speaker labels
Interviews and calls come back with each turn attributed, and you decide what the speakers are called.
Any audio format
MP3 from a podcast, WAV from a recorder, M4A from an iPhone voice memo, OGG from a messaging app: the converter reads them all. There is nothing to convert before you convert.
05—Example
What an Audio to Text Transcript Looks Like
This is real output for a thirty-second two-person recording, not a mock-up. Timestamps mark where each line starts, the speaker labels come from the engine, and the highlighted line is the one under the playhead.
Reading the example
Every line is one speaker turn or, for long turns, a sentence or two. The gap between the end of one line and the start of the next is the pause in the recording. Filler words are kept, because a transcript that edits people sounds like nobody.
What changes with a rougher recording
Lines get longer where the engine is less sure of the breaks, unusual names come back spelled by ear, and speakers who talk over each other may share a line. All of it is fixable in the transcript view, and most of it is avoided by cleaning the audio first.
06—Use cases
What People Convert
Converting a recording to text earns its keep wherever something was said once and needs to be read, searched or quoted many times. These are the six jobs it does most, and what timestamps and speaker labels add to each.
Podcast episodes
Pull quotes for show notes, find the minute a topic came up, and publish a transcript for readers.
Interviews and voice memos
Every answer in writing with the speaker attached, and the recording one click away when a quote needs checking.
Lectures and courses
A recorded lesson becomes notes with timestamps, so a student can return to the exact minute a concept was explained.
Meetings
A transcript with speakers is a record of who committed to what. Search for a name or a date instead of replaying an hour.
Subtitles
Export SRT or VTT and the video is captioned without typing against the clock.
A script in your own voice
A transcript is a script. Send it to text to speech, or clone your voice and hear the words read back in it, re-recorded without a microphone.
What it can't do
It will not transcribe words that were never audible, it does not translate, and it is not live captioning. It works on files you already have, up to thirty minutes each; split a longer recording at a natural break and convert it in two parts.
07—Comparison
Audio to Text Converter vs. Manual Transcription vs. Transcription Services
Three ways to turn a recording into text. They differ in speed, cost and what you get back.
| Audio to text converter | Typing it yourself | Transcription service | |
|---|---|---|---|
| Turnaround | Under a minute | 4–6× the recording | Hours to days |
| Timestamps | By hand | Sometimes | |
| Speaker labels | By hand | ||
| Click a line to hear it | |||
| Cost per ten minutes | Free daily, then credits | An hour of your time | Per-minute fee |
| Read it back in your voice |
A converter is the right default. Type it yourself only when the recording is too rough for any engine, and pay a service only when a human guarantee is part of the deliverable.
08—Best practice
Getting a Cleaner Transcript
The engine does the work, but the recording decides how many words you fix afterwards. Three habits cover most of the difference between a transcript you correct for ten minutes and one you correct for ten seconds.
The single biggest improvement
Noise. Traffic, music or a fan behind the voice costs words that a clean recording keeps. Run rough audio through the voice isolator first; it takes about a minute and the transcript is visibly better.
One microphone, close
A phone on the table between four people records the room. Closer is better than louder.
Let speakers finish
Overlapping talk is the hardest case for any transcription engine. Recordings where people take turns come back clean; a heated panel discussion needs a second look wherever two voices land on the same second.
Search for names afterwards
Unusual names and product terms are where transcripts slip. Search, fix once, export.
09—Questions
Frequently Asked Questions
Is the audio to text converter free?
Every signed-in account gets three free conversions a day of up to ten minutes each, with every export format. Paid plans lift the daily limit, allow files up to thirty minutes, and charge per minute in credits. See pricing for the rate.
How do I transcribe audio to text?
Upload the file, press Transcribe, and open the transcript when it is ready, usually under a minute. Click any line to hear it, then download it as text or subtitles.
What audio formats can I convert?
MP3, WAV, M4A and OGG, up to 50 MB and thirty minutes per file. Voice memos from a phone and podcast downloads work as they are.
Does it add timestamps and speaker labels?
Yes. Each line carries its start time from the audio, and each turn is attributed to a speaker you can rename. On a single-voice recording the labels are not shown.
How accurate is audio to text?
On a clear recording of one or two people, close to what a careful listener would write. Noise, distant microphones and people talking over each other lower it. Cleaning the audio first helps more than anything else, and searching the transcript for names afterwards catches most of what remains.
Can I convert a video to text?
Not directly yet. Export the audio track from the video as MP3 or WAV, convert that, and use the SRT export to caption the video.
Which languages are supported?
Most widely spoken languages, transcribed in their own language. The language is detected automatically.
Is my recording stored?
The transcript and its audio stay in your history for thirty days so you can reopen and export them, and you can delete them at any time. The upload is not kept anywhere else.
10—Read it back
The Transcript Is a Script
Once the words are on the page, the rest of AnyVoice can say them again.
Voice Cloning
Clone your voice and have the transcript read back in it.
MP3, M4A & WAV to Text
Podcast downloads, iPhone voice memos and recorder files, transcribed with timestamps.
Voice Isolator
Clean the recording first for a better transcript.
Speech to Text
The same converter in the workspace, with recording.