Summary: ReelForge is the show-notes loop: drop a video episode or a WAV, get a transcript, chapter titles, a hook, and a highlight MP4 with a thumbnail. You do not stand up Whisper workers, an FFmpeg box, and a search index as three products. You declare Podcasts. Insert the file. The rest follows. pip install pixeltable.
The Product#
- Ingest an episode with
episode_id, show, title, guest - Accept an MP4, a WAV, or both
- Transcribe, chapter, pick a highlight window
- Search past episodes by what was said
Natural-language visual moments are ClipFinder. The sales-call transcript object is CallSense. This post is the episode: audio resolution, chapters, a clipped file.
The Stitch You Delete#
Object store for the master. A job that calls Whisper. Another job that asks an LLM for chapters. FFmpeg on a worker for the 45-second cut. Embeddings in a sidecar so last week’s show is searchable. Pixeltable is the row those joints were syncing by hand. That is the Frankenstein stack.
The Receipt#
Gemini returns JSON. parse_chapters is the object you query — not a shipped virality model. clip and extract_frame follow the highlight window. Audio-only rows still transcribe; the cut is empty without a video. Same file on Cloud: pxt db update → pxt schema update → pxt service update.
What This Is Not#
Not Descript. Not a TikTok scheduler. Auth and the CMS stay where they are. Frame-level visual search is ClipFinder. This is chapters plus one cut on the parent row.
People Also Ask#
Video or audio? Either column can be null. pick_audio prefers the WAV when you have one.
Which Whisper? model='base' matches the homepage. Swap the string; the column stays.
How do I go to Cloud? Same app.py. PIXELTABLE_API_KEY, pxt://org:db, then db → schema → service.
Is this an AI automation workflow? Yes. Insert the master; Whisper, chapters, and the cut run as columns. The category is AI automation workflow.
Chapter the Episode, Cut the Hook#
Declare the show. Apply the file. Insert the master. Search the library. Keep the clip. Delete the FFmpeg farm.
- Pixeltable on GitHub:
pip install pixeltable - MedDossier — clinical intake row
- LectureSync — slides + lecture video
- AdRadar — creative fatigue
- ClipFinder — NL video moments
- CallSense — sales-call auditor
- Pixeltable documentation
