Comparison
abogen vs whishper
Verdict
Pick abogen if abogen generates audiobooks with synchronized captions from ebooks in multiple languages using speech synthesis technologies, suitable for content creators who need to add auditory experiences to text-based media; 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.
Markdown twin · abogen alternatives · whishper alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | abogen | whishper |
|---|---|---|
| Maintenance | Very active (5d since push) As of 3w · github_public_v1 | Slowing (348d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- abogen
- Generate audiobooks from EPUBs, PDFs and text with synchronized captions.
- whishper
- Open-source local audio transcription and subtitling suite with web UI
Stars
- abogen
- 5.4k
- whishper
- 3.0k
Forks
- abogen
- 398
- whishper
- 179
Open issues
- abogen
- 45
- whishper
- 108
Language
- abogen
- Python
- whishper
- Svelte
Adopt for
- abogen
- abogen generates audiobooks with synchronized captions from ebooks in multiple languages using speech synthesis technologies, suitable for content creators who need to add auditory experiences to text-based media.
- whishper
- Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription.
Persona
- abogen
- -
- whishper
- -
Runtime
- abogen
- -
- whishper
- -
License
- abogen
- MIT
- whishper
- 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.
Last pushed
- abogen
- Jul 23, 2026
- whishper
- Aug 15, 2025
Categories
- abogen
- Developer Tools, Speech & Audio
- whishper
- Developer Tools, Speech & Audio
Trust and health
Maintenance
- abogen
- Very active (96%)
- whishper
- Slowing (36%)
Days since push
- abogen
- 5d
- whishper
- 348d
Open issues (now)
- abogen
- 45
- whishper
- 108
Full report
- abogen
- Trust report
- whishper
- Trust report
Choose abogen if…
- abogen is primarily Python; whishper is Svelte.
- License: abogen is MIT, whishper is AGPL-3.0.
- Tags unique to abogen: audiobook, content-creation, epub, pdf.
- You require comprehensive support for both English and non-English voices, including Japanese and Mandarin Chinese
When NOT to use abogen
- For use cases requiring minimal setup without the need to install Kokoro's development version or espeak-ng separately
- If your project strictly limits external dependencies to pre-installed packages, as abogen requires additional installs beyond pip
Choose whishper if…
- whishper is primarily Svelte; abogen is Python.
- License: whishper is AGPL-3.0, abogen 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, speech-to-text.
- 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (denizsafak/abogen) · observed Jul 29, 2026
- GitHub forks (denizsafak/abogen) · observed Jul 29, 2026
- Last push (denizsafak/abogen) · observed Jul 23, 2026
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pluja/whishper) · observed Jul 30, 2026
- GitHub forks (pluja/whishper) · observed Jul 30, 2026
- Last push (pluja/whishper) · observed Aug 15, 2025
- License file (AGPL-3.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: abogen 5.4k · whishper 3.0k (synced Jul 29, 2026).
Common questions
- What is the difference between abogen and whishper?
- abogen: Generate audiobooks from EPUBs, PDFs and text with synchronized captions.. 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 abogen over whishper?
- Choose abogen over whishper when abogen is primarily Python; whishper is Svelte; License: abogen is MIT, whishper is AGPL-3.0; Tags unique to abogen: audiobook, content-creation, epub, pdf; You require comprehensive support for both English and non-English voices, including Japanese and Mandarin Chinese.
- When should I choose whishper over abogen?
- Choose whishper over abogen when whishper is primarily Svelte; abogen is Python; License: whishper is AGPL-3.0, abogen 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, speech-to-text; 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 abogen?
- For use cases requiring minimal setup without the need to install Kokoro's development version or espeak-ng separately If your project strictly limits external dependencies to pre-installed packages, as abogen requires additional installs beyond pip
- 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 abogen or whishper more popular on GitHub?
- abogen has more GitHub stars (5,429 vs 3,048). Stars measure visibility, not whether either tool fits your constraints.
- Are abogen and whishper open source?
- Yes - both are open-source projects on GitHub (abogen: MIT, whishper: AGPL-3.0).
- Where can I find alternatives to abogen or whishper?
- GraphCanon lists graph-backed alternatives at abogen alternatives and whishper alternatives (abogen markdown twin, whishper markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, abogen or whishper?
- abogen: 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 abogen and whishper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: abogen trust report; whishper trust report.