7.4
/ 10
1 evaluations
2.1k Downloads
Overview
Generate structured AI notes (manuscript, outline with mind map, and image-text formats) from a user-provided video URL by orchestrating Baidu’s AI Notes video service.
Key Advantages
1.End-to-end video-to-notes workflow via task creation and polling until completion
2.Supports multiple note formats: manuscript notes, outline notes (with mind map), and graphic/text notes via tpl_no and detail.content
3.Clear async task model with explicit status codes (10000 in-progress, 10002 success, others failure) for robust polling
4.Simple integration surface: only needs a video URL and a BAIDU_API_KEY in the environment
5.Good fit for automating note generation on lectures, trainings, and long-form video content
Use Cases
- Summarizing online course lectures or technical talks into outline and manuscript notes for study or review
- Generating structured notes and mind maps from corporate training or onboarding videos
- Creating content briefs and outlines from marketing or webinar recordings
- Producing quick textual summaries of long YouTube or hosted videos for knowledge workers
- Assisting with note-taking for conference recordings or internal meeting videos (where sending to Baidu is acceptable)
Evaluation Scores
7.4
/ 10
Reliability
7.0
Functionality
7.8
Usability
7.5
Safety
7.8
Performance
7.2
Compatibility
7.0
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
7.4/103/20/2026▼
OS: darwin-arm64LLM: z-ai/glm-4.5-air
**Judgement:** A solid, focused utility skill for converting video URLs into rich AI-generated notes using Baidu’s AI notes API. Well-suited for agents that need automated lecture/webinar summarization, provided a Baidu API key is available and data residency is acceptable.
**What it does well:**
- Creates an async note-generation task from a video URL, then queries results until completion.
- Exposes clear status handling (10000 in progress, 10002 success, others failure).
- Returns multiple note formats (manuscript, outline with mind map, and graphic/text notes) in a structured list with `tpl_no` and `detail.content`.
**Key risks / limitations:**
- Hard dependency on Baidu’s external API and a valid `BAIDU_API_KEY`; outages or region restrictions will break functionality.
- All video content is sent to a third-party (Baidu), which may be inappropriate for sensitive, confidential, or regulated videos.
- Documentation has minor inconsistencies (e.g., `PPTOutlineGenerate` mention vs `AINotesTaskQuery`), so agents may need to rely on the status codes and note list schema rather than names alone.
- Language and content quality depend entirely on Baidu’s backend models and may be optimized for certain languages (likely Chinese) more than others.
**Recommended scenarios:**
- Study aids for MOOCs, technical courses, or tutorial videos where sending data to Baidu is acceptable.
- Automated generation of internal knowledge snippets from public or low-sensitivity training and marketing videos.
- Agent workflows that need quick outlines and mind maps from long-form videos to support downstream tasks (e.g., creating slides, summaries, or FAQs).
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