Glossary → Transcription & speech recognition
Transcription & speech recognition

Timestamping

Timestamping marks transcript text with the time it occurs in the recording — per segment, per speaker turn, or per word — so text and audio can be navigated together.

Coarse timestamps (every paragraph or speaker turn) are enough for citation and review; word-level timing unlocks interactive transcripts, precise clips and caption files. Timestamp accuracy comes from the model or a forced-alignment pass.

Related terms

Frequently asked

What is Timestamping?

Timestamping marks transcript text with the time it occurs in the recording — per segment, per speaker turn, or per word — so text and audio can be navigated together.

Why does Timestamping matter?

Coarse timestamps (every paragraph or speaker turn) are enough for citation and review; word-level timing unlocks interactive transcripts, precise clips and caption files. Timestamp accuracy comes from the model or a forced-alignment pass.

What terms are related to Timestamping?

Closely related concepts: Word-level timestamps, Forced alignment, Subtitle timing — each has its own entry in this glossary.

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