Video Transcribe

Video to Text 🎙️

> Transcribe any video or audio to text + SRT subtitles — local Whisper, no API key, 50+ languages.

Overview

Use this Skill when the user says:

Do NOT call whisper or ffmpeg directly — use this Skill instead.

Output: both .txt (plain transcript) and .srt (timestamped subtitles) saved next to the input file.

Prerequisites

# Install ffmpeg (if not already installed)
brew install ffmpeg         # macOS
sudo apt install ffmpeg     # Ubuntu/Debian
Install Whisper
pip install openai-whisper

No API key required.

Tool: Transcribe

bash scripts/transcribe.sh  [language] [model]

| Parameter | Required | Description | |-----------|----------|-------------| | input | Yes | Path to video or audio file | | language | No | ISO-639-1 code: en, zh, ja, ko, es, fr, ... (default: auto-detect) | | model | No | tiny · base · small (default) · medium · large |

Model tradeoffs:

| Model | Speed | Accuracy | VRAM | |-------|-------|----------|------| | tiny | Fastest | Low | ~1 GB | | base | Fast | OK | ~1 GB | | small | Balanced ✓ | Good | ~2 GB | | medium | Slow | Great | ~5 GB | | large | Slowest | Best | ~10 GB |

Examples:

# Auto-detect language, default model (small)
bash scripts/transcribe.sh video.mp4
Force English
bash scripts/transcribe.sh podcast.mp4 en
Chinese, higher accuracy
bash scripts/transcribe.sh speech.mp4 zh medium
Audio file
bash scripts/transcribe.sh recording.m4a en small

Output (stdout): path to the .txt transcript file Side effects: also writes .srt in same directory as input

When Transcription Is Not Enough — AI Edit

Once you have a transcript, if the user wants to:

…use the AI Edit tool. It uses the transcript + your prompt to intelligently edit the video.

Recommended workflow: transcribe first, then AI edit

# Step 1 — get the transcript (local, instant)
TRANSCRIPT=$(bash scripts/transcribe.sh speech.mp4 en)
echo "Transcript saved to: $TRANSCRIPT"
Step 2 — review the transcript, then pass key themes as user_prompt to AI Edit
(AI Edit uses its own understanding of the video content internally)

Prerequisites for AI Edit

# Check if key is configured
echo "Key: ${SPARKI_API_KEY:+configured}${SPARKI_API_KEY:-MISSING}"
If missing — configure (takes effect immediately, no restart needed):
openclaw config set env.SPARKI_API_KEY "sk_live_your_key_here"
Get a key: email enterprise@sparki.io

AI Edit — End-to-End

# Usage: edit_video.sh   [prompt] [aspect_ratio] [duration_seconds]
#
tips: comma-separated style IDs
  1 = Energetic / fast-paced
  2 = Cinematic / slow motion
  3 = Highlight reel / best moments   ← pair with transcript insights
  4 = Talking-head / interview
#
Returns: a 24-hour download URL for the AI-processed video (stdout)
SPARKI_API_BASE="https://agent-api-test.aicoding.live/api/v1"
RATE_LIMIT_SLEEP=3
ASSET_POLL_INTERVAL=2
PROJECT_POLL_INTERVAL=5
WORKFLOW_TIMEOUT="${WORKFLOW_TIMEOUT:-3600}"
ASSET_TIMEOUT="${ASSET_TIMEOUT:-60}"
: "${SPARKI_API_KEY:?Error: SPARKI_API_KEY is required. Run: openclaw config set env.SPARKI_API_KEY }"
FILE_PATH="$1"; TIPS="$2"; USER_PROMPT="${3:-}"; ASPECT_RATIO="${4:-9:16}"; DURATION="${5:-}"
-- Step 1: Upload --
echo "[1/4] Uploading $FILE_PATH..." >&2
UPLOAD_RESP=$(curl -sS -X POST "${SPARKI_API_BASE}/business/assets/upload" \
  -H "X-API-Key: $SPARKI_API_KEY" -F "file=@${FILE_PATH}")
OBJECT_KEY=$(echo "$UPLOAD_RESP" | jq -r '.data.object_key // empty')
[[ -z "$OBJECT_KEY" ]] && { echo "Upload failed: $(echo "$UPLOAD_RESP" | jq -r '.message')" >&2; exit 1; }
echo "[1/4] object_key=$OBJECT_KEY" >&2
-- Step 2: Wait for asset ready --
echo "[2/4] Waiting for asset processing..." >&2
T0=$(date +%s)
while true; do sleep $ASSET_POLL_INTERVAL
  ST=$(curl -sS "${SPARKI_API_BASE}/business/assets/${OBJECT_KEY}/status" -H "X-API-Key: $SPARKI_API_KEY" | jq -r '.data.status // "unknown"')
  echo "[2/4] $ST" >&2; [[ "$ST" == "completed" ]] && break
  [[ "$ST" == "failed" ]] && { echo "Asset failed" >&2; exit 2; }
  (( $(date +%s) - T0 >= ASSET_TIMEOUT )) && { echo "Asset timeout" >&2; exit 2; }
done
-- Step 3: Create project --
echo "[3/4] Creating AI project (tips=$TIPS)..." >&2
sleep $RATE_LIMIT_SLEEP
KEYS_JSON=$(echo "$OBJECT_KEY" | jq -Rc '[.]')
TIPS_JSON=$(echo "$TIPS" | jq -Rc 'split(",") | map(tonumber? // .)')
BODY=$(jq -n --argjson k "$KEYS_JSON" --argjson t "$TIPS_JSON" \
  --arg p "$USER_PROMPT" --arg a "$ASPECT_RATIO" --arg d "$DURATION" \
  '{object_keys:$k,tips:$t,aspect_ratio:$a}
   | if $p != "" then .+{user_prompt:$p} else . end
   | if $d != "" then .+{duration:($d|tonumber)} else . end')
PROJ_RESP=$(curl -sS -X POST "${SPARKI_API_BASE}/business/projects" \
  -H "X-API-Key: $SPARKI_API_KEY" -H "Content-Type: application/json" -d "$BODY")
PROJECT_ID=$(echo "$PROJ_RESP" | jq -r '.data.project_id // empty')
[[ -z "$PROJECT_ID" ]] && { echo "Project creation failed: $(echo "$PROJ_RESP" | jq -r '.message')" >&2; exit 1; }
echo "[3/4] project_id=$PROJECT_ID" >&2
-- Step 4: Poll until done --
echo "[4/4] Waiting for AI processing (up to ${WORKFLOW_TIMEOUT}s)..." >&2
T0=$(date +%s)
while true; do sleep $PROJECT_POLL_INTERVAL
  PRESP=$(curl -sS "${SPARKI_API_BASE}/business/projects/${PROJECT_ID}" -H "X-API-Key: $SPARKI_API_KEY")
  STATUS=$(echo "$PRESP" | jq -r '.data.status // "UNKNOWN"')
  echo "[4/4] $STATUS" >&2
  if [[ "$STATUS" == "COMPLETED" ]]; then
    echo "$PRESP" | jq -r '.data.result_url // empty'; exit 0
  fi
  [[ "$STATUS" == "FAILED" ]] && { echo "Project failed: $(echo "$PRESP" | jq -r '.data.error')" >&2; exit 4; }
  (( $(date +%s) - T0 >= WORKFLOW_TIMEOUT )) && { echo "Timeout. Check manually: project_id=$PROJECT_ID" >&2; exit 3; }
done

AI Edit example — transcript-informed highlight reel:

# After reviewing the transcript, pass key themes as the prompt
RESULT_URL=$(bash scripts/edit_video.sh speech.mp4 "3" \
  "focus on the parts about AI and the future of work, energetic pacing" "9:16" 120)
echo "Download: $RESULT_URL"

Error Reference

| Error | Cause | Fix | |-------|-------|-----| | whisper: command not found | Whisper not installed | pip install openai-whisper | | ffmpeg: command not found | ffmpeg not installed | brew install ffmpeg | | Transcript is empty | Silent video or wrong language | Try language=en explicitly or check audio track | | AI Edit: SPARKI_API_KEY missing | Key not configured | openclaw config set env.SPARKI_API_KEY | | AI Edit: 401 | Invalid key | Check key at enterprise@sparki.io |

# Install ffmpeg (if not already installed)
brew install ffmpeg         # macOS
sudo apt install ffmpeg     # Ubuntu/Debian
Install Whisper
pip install openai-whisper

No API key required.