video-to-screenplay

video-to-screenplay

Turn video/audio/transcript files into original screenplays via a two-stage LLM pipeline.

When to use

• User wants to generate a screenplay, script, or story from a video/audio file
• User has a podcast, interview, or narration transcript and wants to develop it into a story
• User wants to extract story DNA (themes, characters, conflicts) from spoken content
• User needs Fountain-format output for import into screenwriting software

When NOT to use

• User just wants a transcript → use transcribe_to_srt.py
• User wants to summarize a video → use web_fetch + LLM
• User wants to generate video from script → opposite direction

Pipeline

1. Transcribe (optional): audio/video → SRT via faster-whisper
2. Extract: transcript → story DNA (JSON) via LLM
3. Generate: story DNA → original screenplay (.md + .fountain)

Requirements

• faster-whisper (pip install faster-whisper)
• One LLM API key in openclaw.json (deepseek, kimi, zhipu, longcat, google, or agnes)

Usage

# From existing SRT
python scripts/video_to_screenplay.py --srt input.srt --out-dir ./output

# From audio/video (auto-transcribe first)
python scripts/video_to_screenplay.py --audio input.mp3 --out-dir ./output

# Specify genre and length
python scripts/video_to_screenplay.py --srt input.srt --out-dir ./output --target-minutes 15 --genre "科幻"

# Use GPU for transcription
python scripts/video_to_screenplay.py --audio input.mp3 --out-dir ./output --device cuda --compute-type float16

# Use a different LLM provider
python scripts/video_to_screenplay.py --srt input.srt --out-dir ./output --provider kimi --model kimi-k3

# Extract story DNA only (no screenplay)
python scripts/video_to_screenplay.py --srt input.srt --out-dir ./output --extract-only

Output files

• transcript.txt — plain text transcript
• story_dna.json — extracted story elements (themes, characters, conflicts, motifs)
• screenplay.md — human-readable screenplay
• screenplay.fountain — Fountain format for screenwriting software import

Provider support