Anjin Media

Video intelligence

Search what was said.
Return to the exact moment.

Anjin turns recorded speech into timed, searchable words so editorial briefs can reach the useful sentence inside a long recording or archive.

One video or an entire archive.

Word-level transcripts product demonstration

Transcript

TranscriptPRODUCT UI
Widescreen podcast source indexed with a word-level searchable transcript
Search transcript… locked in
27:21MATZEThe first time I ever saw one at work
27:44MATZEthey say whatever German words to the dog
27:50MATZEand it just locked in
and27.50it27.62just27.74locked27.86in27.98

What is word-level video transcription?

A transcript where individual words retain timing and confidence data.

Transcript records include start and end timing, confidence, speaker labels and filler tagging. Selected passages retain their connection to the source file.

Controls and evidence

See what the system used and produced.

Useful automation leaves something a person can inspect. Anjin keeps the edit connected to its brief, source media and output settings.

WORD-LEVEL TRANSCRIPTSVERIFIABLE OUTPUT
start_ms
The start position of a transcript word in the source.
end_ms
The end position of that word in the source.
confidence
Recognition confidence retained with transcript output.
speaker
The diarised speaker associated with the word.

Why it matters

More control, less timeline work.

01

Find precise language

Retrieve the sentence that answers a brief instead of searching filenames.

02

Build trustworthy edits

Keep every selected word connected to an exact source position.

03

Reuse recorded knowledge

Make interviews, webinars and programmes addressable after upload.

Fit and boundaries

Use the capability where it genuinely helps.

Anjin is strongest on speech-led recorded material where the editorial job can be described clearly and every selected moment needs to remain verifiable. It supports human judgement with searchable evidence, a reviewable plan and structured outputs.

A strong fit

Recorded knowledge with a story inside it

Interviews, podcasts, webinars, discussions and archive programmes benefit when the useful material is distributed across a long recording or several selected sessions.

Keep elsewhere

Final craft and image-led montage

Detailed colour, sound design, motion graphics and wordless visual storytelling remain finishing tasks for a professional editor and their preferred creative tools.

Evaluation checklist

What should you verify before adopting word-level transcripts?

CHECK 01

start_ms

Confirm that the workflow exposes this clearly: the start position of a transcript word in the source.

CHECK 02

end_ms

Confirm that the workflow exposes this clearly: the end position of that word in the source.

CHECK 03

confidence

Confirm that the workflow exposes this clearly: recognition confidence retained with transcript output.

CHECK 04

speaker

Confirm that the workflow exposes this clearly: the diarised speaker associated with the word.

Questions about word-level transcripts

What is a word-level transcript?
It is a transcript that stores timing for each recognised word rather than only timing whole paragraphs or files.
Can I search across several recordings?
Yes. Source groups let a composition request work across selected sessions while retaining the origin of each result.
Does transcription identify the speaker?
Diarisation assigns speaker labels. Those speakers can then be named for clearer plans and outputs.
Can transcript errors affect an edit?
They can, which is why confidence and source timecodes remain available for review against the original media.

Use word-level transcripts in your next edit.

Start with footage you already have and a clear description of the result you need.

One video or an entire archive.