ScribeToAny
Use cases

Transcribe Your Podcast

A transcript is the highest-leverage asset a podcast can publish: it makes episodes searchable, quotable and indexable by Google. Upload your episode and get a speaker-labeled transcript ready for show notes and repurposing.

  • AI transcription
  • 98 Languages
  • Encrypted; we never train AI on your files

Start with your recording

Drop an audio or video file here, or click to choose.

What you get: a real transcript

Unedited output from a 64-second interview with two speakers (synthetic voices), transcribed with speaker detection on. Only the first lines are shown.

Transcript (TXT)
SPEAKER_00 (0:00) Welcome back to Small Shop Stories.
SPEAKER_00 (0:02) Today I'm talking to Maya, who runs a tiny bakery on the
SPEAKER_00 (0:05) corner of Mill Street.
SPEAKER_01 (0:07) Thanks for having me.
SPEAKER_01 (0:08) It's really small, just two ovens and a counter.
SPEAKER_00 (0:12) So how does a normal day start for you?
Subtitles (SRT)
1
00:00:00,000 --> 00:00:01,680
[SPEAKER_00] Welcome back to Small Shop Stories.

2
00:00:02,160 --> 00:00:05,320
[SPEAKER_00] Today I'm talking to Maya, who runs a tiny bakery on the

3
00:00:05,320 --> 00:00:06,320
[SPEAKER_00] corner of Mill Street.

Checked against the script, 4 of 189 words differed — a 2.1% word error rate, counting "80" written for "eighty" as an error — and all 14 speaker turns were labelled correctly. This was clean speech; noisy recordings and people talking over each other score lower. See the full transcript and how it was scored

How it works

  1. 1

    Upload

    Drop in an audio or video file, or paste a link. All common formats are accepted.

  2. 2

    Transcribe

    AI transcribes with timestamps and optional speaker labels, usually in minutes.

  3. 3

    Export

    Edit segments online, then export TXT, SRT, VTT, TSV, CSV, JSON, PDF or DOCX.

Why ScribeToAny

  • Built for interview-style and co-hosted podcasts: turn on Detect speakers to label host and guest turns.
  • A full, timestamped transcript makes episodes searchable and quotable — the raw material for show notes and chapter markers.
  • Handles variable bitrate MP3s, high-res WAV masters, and remote recording studio tracks without manual transcoding.

Frequently asked questions

Can I transcribe a whole back catalog?

Yes — paid plans allow up to 6 files transcribing in parallel and 3000 minutes per month, which clears a backlog quickly.

How do hosts and guests get labeled?

Enable speaker recognition when transcribing; each turn is attributed automatically.

What should I publish on my site?

Export TXT or DOCX for a readable article version, and keep SRT/VTT if your player supports captions.

I recorded host and guest on separate tracks — which should I upload?

Either way works. Uploading each track separately gives you one transcript per known speaker, which is more reliable than detecting speakers in a mixed file; uploading the final mix with Detect speakers on gives one combined transcript.

Will it write show notes or chapters?

No — it gives you the full transcript with timestamps, not a summary. That's the raw material for show notes: pull the key quotes and use the timestamps where each topic starts as chapter markers.

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