--- title: "AudioNotes vs awesome-notebookLM-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/harry0703-audionotes-vs-serenakeyitan-awesome-notebooklm-prompts" tools: ["harry0703-audionotes", "serenakeyitan-awesome-notebooklm-prompts"] --- # AudioNotes vs awesome-notebookLM-prompts *GraphCanon updated Sep 20, 2026* ## Verdict Pick AudioNotes if audioNotes utilizes AI to transcribe audio and video into structured markdown notes, offering developers an efficient way to document media content; pick awesome-notebookLM-prompts if a curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. [AudioNotes](https://github.com/harry0703/AudioNotes) reports 2.5k GitHub stars, 369 forks, and 9 open issues, last pushed Aug 19, 2026. [awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) has 4.6k stars, 677 forks, and 1 open issues, last pushed Jun 19, 2026. Figures are from public GitHub metadata via [AudioNotes's repository](https://github.com/harry0703/AudioNotes) and [awesome-notebookLM-prompts's repository](https://github.com/serenakeyitan/awesome-notebookLM-prompts). | | [AudioNotes](/tools/harry0703-audionotes.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Tagline | Quickly extracts audio and video content into structured markdown notes | Curated collection of NotebookLM slide prompts for AI presentations | | Stars | 2,509 | 4,617 | | Forks | 369 | 677 | | Open issues | 9 | 1 | | Language | Python | - | | Adopt for | AudioNotes utilizes AI to transcribe audio and video into structured markdown notes, offering developers an efficient way to document media content. | A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. | | Persona | - | - | | Runtime | - | - | | License | MIT | Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. | | Categories | Developer Tools, Speech & Audio | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AudioNotes](/tools/harry0703-audionotes.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 31d | 92d | | Open issues (now) | 9 | 1 | | Stars delta | +250 (30d) | +281 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/harry0703-audionotes/trust.md) | [trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust.md) | ## Decision facts: AudioNotes - **Adopt for:** AudioNotes utilizes AI to transcribe audio and video into structured markdown notes, offering developers an efficient way to document media content. ## Decision facts: awesome-notebookLM-prompts - **Adopt for:** A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. - **License detail:** Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. ## Choose when ### Choose AudioNotes if… - Tags unique to AudioNotes: asr, funasr, ollama, python. - Also covers Speech & Audio. - AudioNotes ships Docker support for self-hosted deployment. - When seeking a tool that integrates with Python for transcription tasks ### Choose awesome-notebookLM-prompts if… - Tags unique to awesome-notebookLM-prompts: ai-agents, notebooklm, prompt-engineering. - Also covers AI Agents. - When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations ## When NOT to use AudioNotes - Avoid if you do not need the output specifically in markdown format - Not recommended if your environment cannot support at least 12GB of RAM dedicated to Docker Desktop ## When NOT to use awesome-notebookLM-prompts - For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style - If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ## Common questions ### What is the difference between AudioNotes and awesome-notebookLM-prompts? AudioNotes: Quickly extracts audio and video content into structured markdown notes. awesome-notebookLM-prompts: Curated collection of NotebookLM slide prompts for AI presentations. See the comparison table for live GitHub stats and shared categories. ### When should I choose AudioNotes over awesome-notebookLM-prompts? Choose AudioNotes over awesome-notebookLM-prompts when Tags unique to AudioNotes: asr, funasr, ollama, python; Also covers Speech & Audio; AudioNotes ships Docker support for self-hosted deployment; When seeking a tool that integrates with Python for transcription tasks. ### When should I choose awesome-notebookLM-prompts over AudioNotes? Choose awesome-notebookLM-prompts over AudioNotes when Tags unique to awesome-notebookLM-prompts: ai-agents, notebooklm, prompt-engineering; Also covers AI Agents; When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations. ### When should I avoid AudioNotes? Avoid if you do not need the output specifically in markdown format Not recommended if your environment cannot support at least 12GB of RAM dedicated to Docker Desktop ### When should I avoid awesome-notebookLM-prompts? For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ### Is AudioNotes or awesome-notebookLM-prompts more popular on GitHub? awesome-notebookLM-prompts has more GitHub stars (4,617 vs 2,509). Stars measure visibility, not whether either tool fits your constraints. ### Are AudioNotes and awesome-notebookLM-prompts open source? Yes - both are open-source projects on GitHub (AudioNotes: MIT, awesome-notebookLM-prompts: MIT). ### Where can I find alternatives to AudioNotes or awesome-notebookLM-prompts? GraphCanon lists graph-backed alternatives at [AudioNotes alternatives](/tools/harry0703-audionotes/alternatives) and [awesome-notebookLM-prompts alternatives](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives) ([AudioNotes markdown twin](/tools/harry0703-audionotes/alternatives.md), [awesome-notebookLM-prompts markdown twin](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/harry0703-audionotes-vs-serenakeyitan-awesome-notebooklm-prompts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AudioNotes or awesome-notebookLM-prompts? AudioNotes: Steady. awesome-notebookLM-prompts: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for AudioNotes and awesome-notebookLM-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AudioNotes trust report](/tools/harry0703-audionotes/trust); [awesome-notebookLM-prompts trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=harry0703-audionotes`](/api/graphcanon/graph?tool=harry0703-audionotes) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_