AI MP3 transcription

Transcribe MP3 files to text.
Reviewed result in minutes.

Upload the MP3. Get the reviewed text with speakers identified — ready to use in TXT, DOCX, PDF, or SRT.

Transcribe MP3 now — 10 minutes free →

No credit card · $0.10/min · Up to 150 MB per file

🎵 interview-recording.mp3 · 42 min · Completed
[Anna] The launch went better than we expected. We had prepared for a slow start, but the response in the first week was very strong.

[Carlos] What made the difference? Was it the positioning, the price, or the timing of the launch?
✓ AI-reviewed
2 speakers identified

MP3 is the most common audio format for voice recordings — interviews, podcasts, meetings, classes, and voice notes. The good news: transcribing MP3 to text with LineaType is direct. Upload the file, and in a few minutes you receive the reviewed text. The AI handles speech-to-text, then a second automatic review fixes punctuation and removes filler.

The platform accepts any bitrate (64 kbps and up works well) and any duration up to 150 MB per file — about 1 hour of audio at 128 kbps. For interviews and meetings, automatic speaker identification separates each voice. Export the result as TXT for editing, DOCX for documents, or SRT for adding the text as captions to a related video.

150 MB
max file size (~1h at 128 kbps)
$0.10
per minute transcribed
10 min
free to try
Process

How it works

Three steps. From MP3 to clean text.

1

Upload the MP3 file

Drag and drop or click to select. Any bitrate works — 64 kbps to 320 kbps. The 150 MB limit covers most hour-long recordings.

2

Transcription and automatic review

The AI engine transcribes the audio. A second layer reviews the text — fixing punctuation, paragraph breaks, and filler noise. Speakers are identified automatically.

3

Export in the format you need

TXT, DOCX, PDF, or SRT. With or without timestamps. With or without speaker labels. Ready to use.

Also works with:
.mp3
.wav
.m4a
.ogg
.aac
.flac
.mp4
.mov
What sets it apart

Beyond basic speech recognition

What makes the result actually useful.

🎵

Any MP3 bitrate accepted

Voice recordings (typically 64–128 kbps) or higher-quality (192–320 kbps). The engine handles all of them with equal accuracy.

✨

Automatic AI review

Punctuation, paragraph breaks, and filler noise corrected automatically. The text arrives clean — no need to review line by line.

👥

Speaker identification

For interviews, podcasts, and meetings: each voice gets its own label automatically. Rename "Speaker 1" to the real name in the platform.

📁

4 export formats

TXT for editing, DOCX for documents, PDF for sharing, SRT for video captions. With timestamps if needed.

FAQ

Frequently asked questions

150 MB per file. For reference: an MP3 at 128 kbps fits about 1 hour of audio in 55 MB. At 64 kbps, you can have more than 4 hours in the same size — ideal for long interviews and full meetings.
Yes. From 64 kbps (voice recordings) to 320 kbps (high quality). For transcription, voice quality matters more than bitrate — a clean 64 kbps recording can transcribe better than a noisy 320 kbps file.
On average, 10 to 20 minutes for 1 hour of MP3 audio. Time depends on server load and file size — short files (a few minutes) complete in under 2 minutes.
Yes, automatically. The engine detects distinct voices and separates each segment by speaker. Initial labels are generic ("Speaker 1", "Speaker 2") — you can rename them on the platform.
Basic transcription returns raw text with no punctuation and frequent fragments. LineaType adds an automatic review layer that fixes punctuation, removes filler, and organizes paragraphs — the text arrives close to what a human would write.
Yes. Four formats: TXT (plain text), DOCX (Word), PDF, and SRT (subtitles with timing). Each format can be exported with or without timestamps and with or without speaker labels.

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Up to 150 MB · $0.10/min after free credits