# Send Video Transcribe to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "video-to-text",
    "name": "Video Transcribe",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/Symbolk/video-to-text",
    "canonicalUrl": "https://clawhub.ai/Symbolk/video-to-text",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/video-to-text",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=video-to-text",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/transcribe.sh"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/video-to-text"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/video-to-text",
    "downloadUrl": "https://openagent3.xyz/downloads/video-to-text",
    "agentUrl": "https://openagent3.xyz/skills/video-to-text/agent",
    "manifestUrl": "https://openagent3.xyz/skills/video-to-text/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/video-to-text/agent.md"
  }
}
```
## Documentation

### 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:

"transcribe this video / audio"
"get the transcript", "what did they say"
"generate subtitles / captions"
"convert speech to text"
"extract the text from this video"
"I need the SRT file"

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 <input> [language] [model]

ParameterRequiredDescriptioninputYesPath to video or audio filelanguageNoISO-639-1 code: en, zh, ja, ko, es, fr, ... (default: auto-detect)modelNotiny · base · small (default) · medium · large

Model tradeoffs:

ModelSpeedAccuracyVRAMtinyFastestLow~1 GBbaseFastOK~1 GBsmallBalanced ✓Good~2 GBmediumSlowGreat~5 GBlargeSlowestBest~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 <name>.srt in same directory as input

### When Transcription Is Not Enough — AI Edit

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

Create a highlight reel based on the transcript content
Auto-generate a short-form video from the key moments
Add captions burned into the video
Generate AI commentary or narration

…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 <file> <tips> [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 <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

ErrorCauseFixwhisper: command not foundWhisper not installedpip install openai-whisperffmpeg: command not foundffmpeg not installedbrew install ffmpegTranscript is emptySilent video or wrong languageTry language=en explicitly or check audio trackAI Edit: SPARKI_API_KEY missingKey not configuredopenclaw config set env.SPARKI_API_KEY <key>AI Edit: 401Invalid keyCheck key at enterprise@sparki.io
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: Symbolk
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/video-to-text)
- [Send to Agent page](https://openagent3.xyz/skills/video-to-text/agent)
- [JSON manifest](https://openagent3.xyz/skills/video-to-text/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/video-to-text/agent.md)
- [Download page](https://openagent3.xyz/downloads/video-to-text)