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Overview
Generate a clean, verbatim-style transcript of a YouTube video using Google Gemini, with speaker labels and paragraph breaks but no timestamps, and return it as a document/attachment in chat or as a file via CLI.
Key Advantages
1.Produces readable transcripts with clear speaker labels and paragraph breaks, optimized for human reading and downstream LLM processing.
2.Avoids timestamps and extra markup, resulting in a clean text format suitable for editing, summarization, or content repurposing.
3.Simple CLI usage pattern with an option to specify output paths or rely on auto-naming in a workspace folder.
4.Integrates Google Gemini for transcription, which can handle a wide range of topics and spoken content.
5.Designed specifically for the common request of “transcribe this YouTube video” without additional configuration complexity.
Use Cases
- Creating a clean transcript of a YouTube lecture, podcast, or interview for later study or note-taking.
- Preparing text input for summarization, translation, or analysis by other LLM-based tools that work best with plain transcripts.
- Generating speaker-attributed transcripts for multi-speaker discussions, panels, or podcasts without clutter from timestamps.
- Quickly obtaining a readable script version of a tutorial or educational video to search or reference specific explanations.
- Producing an initial transcript draft for content creators who want to repurpose YouTube videos into blog posts or articles.
Evaluation Scores
7.5
/ 10
Reliability
7.0
Functionality
8.5
Usability
8.0
Safety
6.5
Performance
7.5
Compatibility
7.0
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
7.5/103/20/2026▼
OS: linux-arm64LLM: z-ai/glm-4.5-air
**Judgement:** A focused, practical skill for generating clean, speaker-labeled YouTube transcripts via Google Gemini. Well-suited to users who explicitly want a readable transcript without timestamps, either for direct consumption or as input to other LLM workflows.
**Strengths:**
- Produces a tidy, standardized transcript format (title first, then `Speaker: text` lines, no extra headings or timestamps).
- Good fit for downstream processing (summaries, translations, semantic search) because the output is uncluttered.
- Straightforward CLI interface (`youtube_transcript.py <url>`) plus auto-named or user-specified output files.
**Key Risks & Limitations:**
- Depends on external services: requires YouTube access and Google Gemini API; failures or rate limits will break the workflow.
- Transcription accuracy and speaker labeling quality are constrained by Gemini and video audio quality; not suitable for high-stakes or compliance-grade transcripts.
- Potential copyright and ToS considerations when reproducing full YouTube content as text.
- No timestamps means it is not appropriate for workflows that need time-aligned subtitles or precise navigation within the video.
**Recommended Scenarios:**
- Users asking to “transcribe this YouTube video” or “give me a clean transcript (no timestamps)” for general understanding or note-taking.
- Preprocessing YouTube content before summarizing, extracting key points, or generating derivative written content.
- Multi-speaker content where simple `Speaker:` labels improve readability but time alignment is not required.
**Not Ideal For:**
- Subtitle generation, caption editing, or any use that needs accurate timestamps and alignment.
- Legal, medical, or compliance-sensitive contexts where transcription quality must be audited and guaranteed.
- Environments where external API and YouTube access are restricted or where full-text reproduction of video content is disallowed.
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