Speaker recognition & timestamps
AI detects different speakers and marks each section with a time.
Audio to text
Convert an MP3 file into a readable transcript online with AI speaker detection and timestamps. Upload or link a lecture, interview, podcast, or meeting, then export the text as Word or PDF.
Free trial: 3 transcriptions per calendar month, each up to 10 minutes, no account — as plain text. Speaker separation (“who said what”) and files up to 4 hours are part of the paid offerings: day pass €2.99, credit €4.99, Pro €8.99/month.
Convert MP3 to text nowChoose file
or drop here — MP3, WAV, M4A
Premium: upload videos (MP4, MOV, WebM, up to 100 MiB), name speakers and review subtitles before exporting SRT or VTT.
The video is deleted from our server one hour after upload. Your encrypted transcript stays in your account until you delete it. Only the extracted audio is sent for transcription.
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These are two original passages from the English sample recording available in the tool. They were transcribed with MAI-Transcribe-2 on 23 October 2026. Speaker labels are a paid feature.
3.04–11.88 s · Speaker 1
Let me ask you about AI. It seems like this year, for the entirety of the human civilization, is an interesting year for the development of artificial intelligence.
12.60–22.08 s · Speaker 1
A lot of interesting stuff is happening. So Meta is a big part of that. Meta has developed Llama, which is a 65 billion parameter model.
Check names, numbers and quotations against the audio before sharing the result. The free trial includes text and timestamps; speaker attribution is included in paid plans.
Choose a file, drag and drop it, or paste a direct link to the audio file.
Automatic language detection or manual selection. Optionally specify the number of speakers.
Read and search the timestamped transcript, then export it as a Word or PDF file.
AI detects different speakers and marks each section with a time.
Besides MP3, WAV, M4A, OGG, FLAC and WebM are also supported.
Download the formatted transcript directly — with speakers and timestamps.
Play the transcript as a chat with an audio timeline — see and hear who spoke when.
No registration for the trial. After that you pay once from €2.99 — no subscription needed.
Upload the MP3 file directly or provide a URL to the audio file.
Upload the MP3 file on Sprechverlauf or paste a link. The free trial gives you plain text with timestamps; speaker attribution is included in the day pass from €2.99.
Yes. Besides MP3, WAV, M4A, OGG, FLAC and WebM are supported. Alternatively, provide a direct link to the audio file.
Files up to 100 MiB can be uploaded.
Yes. Sprechverlauf uses AI-based speaker diarization, so the transcript shows who spoke when.
Yes. After conversion, download the result directly as a Word or PDF file.
Yes. The free trial needs no account and no email address: 3 transcriptions of up to 10 minutes per calendar month, as plain text with timestamps. If you do sign in, your transcripts are saved encrypted in your account.
Processing time depends on recording length, upload speed, server load and speaker separation. The tool shows an updated estimate while your file is processing.
Not for the free trial. You only need an account to buy a plan (day pass, credit or Pro) — a subscription is never required. Technical anti-abuse limits apply.
Recognition runs through OpenRouter with zero data retention — the providers (Microsoft Azure, DeepInfra, Groq) store neither audio nor text. Sprechverlauf deletes uploaded audio files after processing, at the latest after two hours, and keeps the transcript in memory for at most two hours. Only signed-in users get an encrypted copy in their account, which they can delete at any time.
Premium: upload videos (MP4, MOV, WebM, up to 100 MiB), name speakers and review subtitles before exporting SRT or VTT. The video is deleted from our server one hour after upload. Your encrypted transcript stays in your account until you delete it. Only the extracted audio is sent for transcription.