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Editing transcripts

Clicking a row in the Transcripts overview opens the detail view; after a recording or an upload, companyTRANSCRIBE opens it automatically. There you see the recording’s metadata, can play the audio, correct the recognised text, name the speakers, and export the result. Back returns to the overview.

The header of the detail view lists the technical details of the transcription.

Transcript detail view with metadata, audio player, and the edit mode open

FieldContent
StatusPending until transcription starts, Processing while transcribing, then Completed – or Failed if transcription was not possible
CreatedWhen the recording was created
CompletedWhen the transcript was finished
Processing timeDuration of the transcription run
Audio lengthLength of the recording
Created byThe user who owns the transcript
Languagestays empty (—), as transcription is always in German
Speaker detectionOn or Off, depending on the setting used when recording

While transcription is running, the note “Transcribing… This can take a few minutes depending on the recording length.” appears in place of the text. If it failed, “Transcription failed” appears, where possible with the reason. If the recording contains no recognisable speech, the detail view reports “No speech was detected in this recording.”

Edit next to the title changes the entry’s title and description; Save applies the change.

An audio player sits under Audio, so the recording can be replayed at any time — useful for checking an unclear passage in the transcript against the original. Clicking a timestamp in the transcript jumps straight to that point in the audio.

The Transcript section offers two actions:

  • Edit — switches the text into editable fields, one per contribution. companyTRANSCRIBE saves changes as you type; the action changes to Done, which ends editing.
  • Resync — During playback, the transcript scrolls along automatically. If you scroll away yourself, Resync appears and switches the automatic scrolling back on.

Typically you correct proper nouns and technical terms the recognition misheard here — for example an “App” that should read “API”. The correction also carries through to the export.

If the recording was made with speaker detection active, a Speakers block appears above the text with one input field per detected voice (Speaker 1, Speaker 2, Speaker 3, …).

The speakers block with one input field per detected voice

Enter the actual names there. The assignment then carries through the whole transcript: each contribution is headed with the name you gave and a timestamp. What was an anonymous numbering becomes a readable record of the conversation — and the names also appear in the exported file. Speakers without a name appear in the text and the export as “Speaker 1”, “Speaker 2” and so on.

The Download .md button in the top right saves the complete transcript as a Markdown file; it appears once transcription has completed. The file starts with the title and the creation date; with speaker detection active, each contribution starts with the assigned name in bold and the timestamp. This way it can be processed further right away — as the basis for minutes, for example, or for filing in a knowledge collection.

Instead of processing the transcript by hand, you can have it analysed directly in the chat: Access from CompanyGPT.