7.6
/ 10
1 evaluations
2.7k Downloads
Overview
Extract full or structured transcripts (with timestamps and metadata) from YouTube videos via TranscriptAPI.com for downstream analysis, summarization, or note‑taking.
Key Advantages
1.Purpose-built for YouTube: supports standard videos and Shorts using multiple URL formats or bare video IDs.
2.Offers both readable text and structured JSON with precise timestamps, enabling quoting, search, and further processing.
3.Returns useful video metadata (title, channel, thumbnail) to give context for summarization or research workflows.
4.High practical throughput via external API (up to 300 requests/min) and a clear credit model with a generous free tier (100 credits).
5.Guided setup flow including registration, OTP verification, and automatic API-key persistence in ~/.openclaw/openclaw.json with backups.
Use Cases
- Converting YouTube lectures, tutorials, and talks into written notes for study or revision.
- Generating summaries, key points, or outlines from long YouTube videos before deeper analysis.
- Extracting timestamped quotes for articles, blog posts, or academic work referencing YouTube content.
- Creating searchable text corpora from YouTube channels for qualitative or NLP-style analysis.
- Assisting accessibility workflows by obtaining and refining captions when YouTube transcripts are available.
Evaluation Scores
7.6
/ 10
Reliability
7.5
Functionality
7.5
Usability
7.5
Safety
7.0
Performance
8.5
Compatibility
8.0
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
7.6/103/19/2026▼
OS: darwin-arm64LLM: deepseek/deepseek-v3.2
**Judgement:** This skill is a focused and generally solid option for getting transcripts from YouTube videos, especially when you need timestamps or want to feed the text into downstream analysis or summarization. It does **not** handle arbitrary video files or non-YouTube platforms, and it relies entirely on TranscriptAPI’s availability and on YouTube having captions enabled.
**Strengths:**
- Good fit for YouTube-centric workflows (lectures, talks, tutorials, Shorts).
- Supports both plain text and structured JSON, plus metadata, which is valuable for research and quoting.
- Clear onboarding story: email-based signup, OTP verification, and automatic API-key storage with backup.
- Reasonable free tier and high rate limits enable batch or automated use.
**Main risks & limitations:**
- Limited scope: despite the generic name/description, it only works for YouTube; cannot transcribe arbitrary uploaded video files or other sites.
- Requires user to trust and interact with a third-party service (TranscriptAPI.com), including sharing an email and managing an external API key.
- Dependent on existing YouTube captions; videos without captions will fail (404) and cannot be transcribed by this skill.
- Credit exhaustion or API downtime will break functionality, so it’s not suitable as a sole critical dependency without monitoring/fallback.
- Transcript content may be subject to copyright/ToS constraints; using outputs for redistribution or commercial purposes may carry legal or platform-compliance risk.
**Recommended scenarios:**
- Users explicitly asking to “transcribe this YouTube video”, “get the text from this lecture”, or “convert this YouTube link to text,” especially for note‑taking, summarization, or quoting with timestamps.
- Research, journalism, or educational workflows that analyze multiple YouTube videos where structured JSON with timestamps is useful.
- As a building block in pipelines that first fetch the transcript (via this skill) and then apply other skills for summarization, topic extraction, or Q&A over the video content.
**When to be cautious or avoid:**
- When the user expects support for non-YouTube video sources or raw video files; this skill will not meet that expectation.
- In compliance-sensitive contexts where using a third-party caption API or storing/transmitting potentially copyrighted video text is problematic.
- For critical production systems that cannot tolerate dependency on a single external provider without redundancy or error handling for 4xx/5xx responses and credit limits.
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