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Transcription that the rest of the workflow can rely on.

Timecoded, speaker-identified transcription in 35+ languages. Useful on its own, and essential when it is the foundation the translation, subtitling and dubbing are all built on.

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00:14:02Speaker 1So when did you first notice it?
00:14:05Speaker 2[inaudible]
00:14:09Speaker 1Right, that makes sense.

An error here becomes an error everywhere.

A misheard name, number or term travels into every deliverable, in every language. We treat transcription as load-bearing.

  1. 01TranscriptA name, number or technical term is misheard.
  2. 02TranslationBuilt from the transcript, error included.
  3. 03Subtitle fileCarries the same error.
  4. 04Dubbing scriptCarries it again.
  5. 05PerformanceRecorded in the booth, in every language.

What a transcript from us includes.

  • Verbatim (legal, research, some documentary) or clean-read (most localization)
  • Timecodes per line, per speaker change or per paragraph
  • Speaker labels, mapped to names you supply
  • Non-speech audio noted where it carries meaning
  • Names, places and terms verified against your reference material

When the source is difficult.

Overlapping speakers, accents, noise, poor field recording, dialect and code-switching are normal in real material.

  • Code-switching

    Hindi and English in one sentence is ordinary speech in many markets.

  • Native in both

    Transcriptionists who work natively in the language combination.

  • Flagged, not guessed

    Audio that cannot be resolved is marked inaudible, with a timecode.

  • Why it matters

    A flagged gap is recoverable. A confident invention is not.

Frequently
Asked Questions.

What's the difference between verbatim and clean-read transcription?
Verbatim captures everything said including false starts, repetitions and filler words. Clean-read removes them for readability while preserving meaning. Localization workflows almost always want clean-read; legal, research and some documentary work needs verbatim.
Do you provide timecodes?
Yes, at whatever interval you need, per line, per speaker change or per paragraph, and matched to the requirements of whatever comes next in your workflow.
Can you transcribe audio with multiple languages in it?
Yes. Code-switching between languages mid-sentence is common in many markets and is a frequent failure point for single-language transcriptionists. We assign people who work natively across the relevant combination.
What happens with audio that's genuinely unclear?
It is marked inaudible with a timecode rather than guessed at. A flagged gap can be resolved by someone with context; a confident wrong guess propagates silently into every downstream deliverable.

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