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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 Sep 20, 2026

10views this month

abogen logo

abogen

denizsafak/abogen

★ 6.0kpushed Sep 7, 2026
vs
whishper logo

whishper

pluja/whishper

★ 3.1kpushed Jul 31, 2026

Trust & integrity

Signalabogenwhishper
Maintenance
Active (12d since push)
As of Sep 20, 2026 · github_public_v1
Steady (50d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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
abogen trust reportwhishper trust reportTrust methodology

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
6.0k
whishper
3.1k

Forks

abogen
466
whishper
181

Open issues

abogen
48
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
Sep 7, 2026
whishper
Jul 31, 2026

Categories

abogen
Developer Tools, Speech & Audio
whishper
Developer Tools, Speech & Audio

Trust and health

Maintenance

abogen
Active (82%)
whishper
Steady (60%)

Days since push

abogen
12d
whishper
50d

Open issues (now)

abogen
48
whishper
108

Stars delta

abogen
+596 (30d)
whishper
+24 (30d)

Open issues delta

abogen
+3 (30d)
whishper
0 (30d)

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
GitHubDetails

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.
GitHubDetails

Explore

abogen trust report →whishper trust report →Developer Tools category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: abogen 6.0k · whishper 3.1k (synced Sep 20, 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 (6,025 vs 3,072). 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: Active. whishper: Steady. 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.

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