--- title: "voicy vs whishper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/backmeupplz-voicy-vs-pluja-whishper" tools: ["backmeupplz-voicy", "pluja-whishper"] --- # voicy vs whishper *GraphCanon updated Jul 31, 2026* ## Verdict Pick voicy if voicy is an open-source speech-to-text Telegram bot, available under MIT license and requiring MongoDB and FFmpeg for setup; pick whishper if whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. [voicy](https://voicybot.com) reports 905 GitHub stars, 164 forks, and 0 open issues, last pushed Jul 28, 2026. [whishper](https://whishper-docs.pages.dev/) has 3.0k stars, 179 forks, and 108 open issues, last pushed Aug 15, 2025. Figures are from public GitHub metadata via [voicy's repository](https://github.com/backmeupplz/voicy) and [whishper's repository](https://github.com/pluja/whishper). | | [voicy](/tools/backmeupplz-voicy.md) | [whishper](/tools/pluja-whishper.md) | | --- | --- | --- | | Tagline | @voicybot Telegram bot main repository | Open-source local audio transcription and subtitling suite with web UI | | Stars | 905 | 3,048 | | Forks | 164 | 179 | | Open issues | 0 | 108 | | Language | JavaScript | Svelte | | Adopt for | Voicy is an open-source speech-to-text Telegram bot, available under MIT license and requiring MongoDB and FFmpeg for setup. | Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. | | Persona | - | - | | Runtime | - | - | | License | MIT | Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license. | | Categories | Developer Tools, Speech & Audio | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [voicy](/tools/backmeupplz-voicy.md) | [whishper](/tools/pluja-whishper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 348d | | Open issues (now) | 0 | 108 | | Full report | [trust report](/tools/backmeupplz-voicy/trust.md) | [trust report](/tools/pluja-whishper/trust.md) | ## Decision facts: voicy - **Adopt for:** Voicy is an open-source speech-to-text Telegram bot, available under MIT license and requiring MongoDB and FFmpeg for setup. ## Decision facts: whishper - **Pricing:** freemium - Free, open-source solution that does not charge for usage or require payment plans. - **Requirements:** Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional. - **Adopt for:** Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. - **License detail:** Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license. ## Choose when ### Choose voicy if… - voicy is primarily JavaScript; whishper is Svelte. - License: voicy is MIT, whishper is AGPL-3.0. - Tags unique to voicy: bot, telegram-bot. - You need to integrate speech-to-text capabilities into a Telegram bot using JavaScript. ### Choose whishper if… - whishper is primarily Svelte; voicy is JavaScript. - License: whishper is AGPL-3.0, voicy is MIT. - Pricing: Free, open-source solution that does not charge for usage or require payment plans.. - Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.. - Tags unique to whishper: audio-to-text, golang, speech-recognition, subtitles. - whishper ships Docker support for self-hosted deployment. - When you need to transcribe media files locally without sending data to external servers, ensuring privacy. ## When NOT to use voicy - If your project doesn't require or support running MongoDB locally for storing voice messages and their text transcriptions. - When you prefer cloud-based solutions for speech-to-text functionality without the need to manage FFmpeg for local processing tasks. ## When NOT to use whishper - When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. - If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. - When direct audio input from web browsers is necessary because this feature is pending implementation. ## Common questions ### What is the difference between voicy and whishper? voicy: @voicybot Telegram bot main repository. whishper: Open-source local audio transcription and subtitling suite with web UI. See the comparison table for live GitHub stats and shared categories. ### When should I choose voicy over whishper? Choose voicy over whishper when voicy is primarily JavaScript; whishper is Svelte; License: voicy is MIT, whishper is AGPL-3.0; Tags unique to voicy: bot, telegram-bot; You need to integrate speech-to-text capabilities into a Telegram bot using JavaScript. ### When should I choose whishper over voicy? Choose whishper over voicy when whishper is primarily Svelte; voicy is JavaScript; License: whishper is AGPL-3.0, voicy is MIT; Pricing: Free, open-source solution that does not charge for usage or require payment plans.; Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.; Tags unique to whishper: audio-to-text, golang, speech-recognition, subtitles; whishper ships Docker support for self-hosted deployment; When you need to transcribe media files locally without sending data to external servers, ensuring privacy. ### When should I avoid voicy? If your project doesn't require or support running MongoDB locally for storing voice messages and their text transcriptions. When you prefer cloud-based solutions for speech-to-text functionality without the need to manage FFmpeg for local processing tasks. ### When should I avoid whishper? When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. When direct audio input from web browsers is necessary because this feature is pending implementation. ### Is voicy or whishper more popular on GitHub? whishper has more GitHub stars (3,048 vs 905). Stars measure visibility, not whether either tool fits your constraints. ### Are voicy and whishper open source? Yes - both are open-source projects on GitHub (voicy: MIT, whishper: AGPL-3.0). ### Where can I find alternatives to voicy or whishper? GraphCanon lists graph-backed alternatives at [voicy alternatives](/tools/backmeupplz-voicy/alternatives) and [whishper alternatives](/tools/pluja-whishper/alternatives) ([voicy markdown twin](/tools/backmeupplz-voicy/alternatives.md), [whishper markdown twin](/tools/pluja-whishper/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/backmeupplz-voicy-vs-pluja-whishper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, voicy or whishper? voicy: Very active. whishper: 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 voicy and whishper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [voicy trust report](/tools/backmeupplz-voicy/trust); [whishper trust report](/tools/pluja-whishper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=backmeupplz-voicy`](/api/graphcanon/graph?tool=backmeupplz-voicy) - 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/_