No exact phrase found across the selected sources.
Fumana
Find the moment you remember, even when you do not know the exact words.
Fumana helps teams search video and audio by meaning. Describe the moment, idea or emotional beat you remember, then review the strongest matching material with transcripts and timecodes.
Fumana synthetic contextual search demonstration using fictional participant material and timecoded transcript results.
Why this matchesThe speaker connects forgiveness, memory and her relationship with her father without repeating the query word for word.
Contextual search ready.
The moment is still in the footage. The problem is remembering where.
Exact wording disappears from memory long before the meaning does. Fumana begins with the remembered idea, then searches the transcript relationships around it.
Related ideas resolve into a strong, timecoded editorial moment.
A search result becomes an editorial decision.
Move between the synthetic demonstration moments, inspect why each result matched, then add useful material to a focused clip list.
Synthetic demonstration material | No real participant or production footage
I thought letting go meant forgetting it. Then I realised forgiveness could hold the memory without holding the anger.
The speaker connects forgiveness, memory and her relationship with her father without repeating the query word for word.
Search from memory. Resolve into material.
- 01Search what you remember
Describe the idea, exchange or feeling that stayed with you.
- 02Search meaning and context
Related language and surrounding ideas become part of the search.
- 03Review the strongest moments
Timecoded fragments resolve into an editorial review state.
- 04Save what belongs in the story
Promising material moves into a focused clip-selection list.
Built around audiovisual discovery and review.
- 01Contextual video and audio search
- 02Transcript-based discovery
- 03Meaning-aware result ranking
- 04Search review and clip selection
- 05Workflows designed around real post-production needs
For teams working close to large audiovisual collections.
These are intended users, not customer claims.
- Documentary editors
- Post-production teams
- Broadcasters
- Archive teams
- Researchers working with large audiovisual collections
Fumana is in private pilot.
Currently being tested with selected teams.
