We transcribe your audiovisual library end-to-end. You search it in plain English — across every word, every speaker, every frame.
A four-stage pipeline that turns raw footage into a queryable database — without your video ever leaving your infrastructure.
We pull audio tracks from any source format — broadcast tapes, archival files, meeting recordings. No upload of video required.
Our models transcribe to word-level timestamps, segmented by speaker. Trained on broadcast speech patterns, not just general audio.
Every word, timestamp, and speaker label is indexed into a structured database. Fully transparent — no black box embedding vectors.
Query the archive in plain English. Find exact moments. Get timestamped results you can jump to, export, or cite — in seconds.
Every public address from the White House YouTube channel — weekly addresses, press conferences, joint statements, commencements — transcribed end-to-end and indexed. Ask in plain language. Find the exact moment.
Any organisation sitting on years of recorded audio or video and no practical way to search it.
Decades of footage made findable. Search rushes, interviews, and B-roll by spoken content, not just metadata.
Law firms and litigation teams producing searchable transcripts of recorded depositions for evidentiary discovery.
Committee hearings, council sessions, and public inquiries turned into searchable public record, automatically.
Universities and research institutions indexing interview archives spanning decades of recorded testimonies.
Recorded board sessions, investor calls, and training video libraries — searchable across your whole organisation.
Video footage, dashcam recordings, accident scenes, property inspections, and recorded statements made fully searchable for faster claims processing and fraud detection.
Fieldscript is designed around a simple principle: we need the minimum to do the job. Audio in, transcripts out. Nothing stored, nothing retained.
We work directly with audio-only extracts. Video files are never transmitted, uploaded, or seen by our systems.
Audio is encrypted end-to-end during transmission. TLS in flight, AES-256 at rest for anything temporarily buffered.
GPU instances are spun up per job and destroyed immediately after transcription completes. No persistent environment.
The only thing we return is the transcript and timestamps. No media is stored, cached, or logged on our infrastructure.