Verify quotations
Return from a selected statement to the exact recorded context.
Output and control
Know where every moment came from.
Keep the edit accountable.
Every selected segment remains connected to the source recording, time range and plan version that produced it, making review and reuse more dependable.
One video or an entire archive.
Source provenance product demonstration
Source provenance
Source provenanceLINEAGE VIEW
Episode 03 · A
Episode 03 · B
HOOK28:05–28:20
BODY27:21–27:35
CLOSE27:07–27:16
RENDER V1
source_groupstart_msend_mscameraep0316850001700000A
What is source provenance in AI video editing?
A traceable record connecting rendered segments to the original media and editorial decision.
Cut segments record source timecodes and references. Render results retain the plan version and provide structured edit-decision information.
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.
SOURCE PROVENANCEVERIFIABLE OUTPUT
- source_group
- The recorded session from which a moment was selected.
- timecodes
- The start and end range inside the original source.
- angle
- The camera source used where multi-angle media is available.
- plan_version
- The reviewed editorial plan used for rendering.
Why it matters
More control, less timeline work.
Review with confidence
Inspect what the system used instead of accepting an unexplained output.
Reuse responsibly
Keep source identity attached as moments move into new edits and systems.
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 source provenance?
source_group
Confirm that the workflow exposes this clearly: the recorded session from which a moment was selected.
timecodes
Confirm that the workflow exposes this clearly: the start and end range inside the original source.
angle
Confirm that the workflow exposes this clearly: the camera source used where multi-angle media is available.
plan_version
Confirm that the workflow exposes this clearly: the reviewed editorial plan used for rendering.
Put it into practice
Start with a complete editing brief.
Customer interview evidence reelTurn selected interviews into a concise, traceable evidence composition.Open the brief →Video archive themed montageSearch selected archive material and compose a traceable theme-led montage.Open the brief →Sales objection-handling clipsExtract complete, approved answers for sales enablement.Open the brief →
Questions about source provenance
- What can I trace in an Anjin edit?
- You can trace planned segments to their source group, source time range and, where applicable, speaker and camera angle.
- Why does plan version matter?
- It identifies the exact reviewed structure used for a render, even when later revisions create newer plans.
- Does provenance prove a claim is true?
- No. It proves where recorded material came from. Editorial and factual verification still require human judgement.
- Can provenance data be used through the API?
- Yes. Structured plans and result sidecars support programmatic review and downstream workflows.
Use source provenance 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.