AI transcription

AI transcription that shows its work

Upload any audio or video file and the AI returns a speaker-labeled, timestamped transcript in minutes: 95%+ accuracy on clear audio, with a per-word confidence view so you can verify it instead of trusting it blindly. The first 10 minutes of every file are free, no credit card; after that it is $3 per audio hour, billed per started hour, with a $3minimum per file. Not satisfied? Full refund, no questions asked.

Try AI transcriptionFirst 10 minutes free. No credit card.

See the output on a sample file

A sample clip transcribed by the same engine your files get. Press play, or click any word to hear that exact moment.

Sample preview
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Host:All right, welcome back to the show. So today, we are getting into something I think every single creator struggles with, which is, honestly, how do you actually finish the stuff you start?

Guest:Oh, this is so my topic because I am genuinely terrible at it.

Host:Right? So, okay, the thing that flipped it for me was time boxing. You give a task like 30 minutes, and when that timer goes off, you stop. Doesn't matter if it is done.

Guest:Wait, wait. Even if it is not finished?

Host:Especially if it is not finished. That is kind of the whole point. The deadline does the work.

Guest:Huh. Okay, that is actually kind of brilliant. I always thought I had to, you know, see the whole thing through in one sitting.

Host:Yeah. That is the trap. Little blocks every day beats one big heroic marathon that, let's be real, never actually happens.

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What is AI transcription?

AI transcription uses a speech recognition model to convert audio into written text automatically, replacing manual typing and earlier generations of speech recognition software. A modern model handles accents, technical vocabulary, and conversations with multiple speakers, and returns the result in minutes rather than days. FileToText runs on a leading speech recognition model and adds the verification layer most AI tools skip: word-level timestamps, per-word confidence, and a player synced to the text, so every sentence can be checked against the source audio.

What the AI actually does

Detects the language

90+ languages recognized automatically. Upload the file, no language setting needed.

Separates the speakers

Diarization tells up to 32 speakers apart and labels every line. Rename a speaker once, it updates everywhere.

Shows its confidence

A per-word confidence view marks the words the model was least sure about, so you know exactly what to double-check.

Cleans up filler

Keep every um and uh for the record, or let the AI hide them for a cleaner read. Your choice, reversible.

Summarizes long audio

AI summaries condense a long recording into the points that matter, next to the full transcript.

Translates the result

Translate the finished transcript into 90+ languages, with timestamps kept intact for subtitles.

How accurate is it?

Honest answer: judge it on your own audio. FileToText returns text in minutes at $3 per audio hour, backed by a no-questions refund, and reaches 95%+ accuracy on clear audio. If a transcript has legal or medical consequences, use a specialist human service. For interviews, meetings, podcasts, and lectures, that accuracy plus a quick self-review is usually all you need, and the confidence view tells you exactly where to spend that review. For the full accuracy picture, read how accurate AI transcription really is.

Related tools

Start from your file type with the audio to text converter or video to text converter. Comparing tools first? See the best transcription software roundup.

AI transcription FAQ

Updated July 2026
AI transcription uses a speech recognition model to turn audio into text automatically. Upload a file to FileToText and the model converts the speech to written words, detects the language from 90+ options, separates the speakers, and adds timestamps, usually within a few minutes. Modern AI models handle accents, technical vocabulary, and multi-speaker conversations far better than older automatic tools, reaching 95%+ accuracy on clear audio. FileToText also shows its work: a per-word confidence view marks the words the model was least certain about, and the transcript stays synced to the audio so you can click any word and hear the original moment before trusting it. The first 10 minutes of every file are transcribed free, no credit card; after that it is $3 per audio hour, billed per started hour, with a $3 minimum per file.
95%+ on clear audio is a realistic expectation, not a guarantee: quiet rooms and close microphones transcribe well, while background noise, heavy accents, and crosstalk pull accuracy down. The honest way to know is to test it on your own audio: the first 10 minutes of any file are free, which is enough to judge the quality before paying anything. See the live monthly benchmark →
AI transcription returns text in minutes at $3 per audio hour. Professional human transcribers can get closer to 100% on genuinely difficult audio. If the transcript has legal or medical consequences, pay for the human tier at a specialist service. For interviews, meetings, podcasts, lectures, and everyday work, AI accuracy plus a quick self-review is usually all you need.
Yes. Speaker diarization separates up to 32 speakers automatically and labels each line. Rename Speaker 1 and Speaker 2 to real names once and the label updates through the whole transcript. Heavy crosstalk is the hard case: when people talk over each other, expect rougher segments.
The first 10 minutes of every file are free on a free account, with no credit card. Beyond that, transcription costs $3 per audio hour, billed per started hour, with a $3 minimum per file, or subscriptions from $10/month (600 minutes) for regular volume. Not satisfied? Full refund, no questions asked.
A typical file is done in a couple of minutes; long multi-hour recordings take longer, and you can close the tab and come back (or get an email) when it is ready. FileToText accepts files up to 20 hours per upload.

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