Comparison
AudioGPT vs whishper
Verdict
Pick AudioGPT if audioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models; 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 · AudioGPT alternatives · whishper alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | AudioGPT | whishper |
|---|---|---|
| Maintenance | Dormant (769d since push) As of 1w · github_public_v1 | Slowing (348d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- AudioGPT
- AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
- whishper
- Open-source local audio transcription and subtitling suite with web UI
Stars
- AudioGPT
- 10k
- whishper
- 3.0k
Forks
- AudioGPT
- 850
- whishper
- 179
Open issues
- AudioGPT
- 53
- whishper
- 108
Language
- AudioGPT
- Python
- whishper
- Svelte
Adopt for
- AudioGPT
- AudioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models.
- 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
- AudioGPT
- -
- whishper
- -
Runtime
- AudioGPT
- -
- whishper
- -
License
- AudioGPT
- Other
- 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
- AudioGPT
- Jul 6, 2024
- whishper
- Aug 15, 2025
Categories
- AudioGPT
- Speech & Audio
- whishper
- Developer Tools, Speech & Audio
Trust and health
Maintenance
- AudioGPT
- Dormant (18%)
- whishper
- Slowing (36%)
Days since push
- AudioGPT
- 769d
- whishper
- 348d
Open issues (now)
- AudioGPT
- 53
- whishper
- 108
Stars delta
- AudioGPT
- +3 (30d)
- whishper
- Unknown
Open issues delta
- AudioGPT
- -1 (30d)
- whishper
- Unknown
Owner type
- AudioGPT
- Organization
- whishper
- User
OSV dependency advisories
- AudioGPT
- Published findings
- whishper
- No lockfile (source not queried)
Full report
- AudioGPT
- Trust report
- whishper
- Trust report
Choose AudioGPT if…
- AudioGPT is primarily Python; whishper is Svelte.
- License: AudioGPT is Other, whishper is AGPL-3.0.
- Tags unique to AudioGPT: audio, gpt, music, sound.
- - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech.
When NOT to use AudioGPT
- - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access.
- - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress.
Choose whishper if…
- whishper is primarily Svelte; AudioGPT is Python.
- License: whishper is AGPL-3.0, AudioGPT is Other.
- 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.
- Also covers Developer Tools.
- 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 (AIGC-Audio/AudioGPT) · observed Aug 15, 2026
- GitHub forks (AIGC-Audio/AudioGPT) · observed Aug 15, 2026
- Last push (AIGC-Audio/AudioGPT) · observed Jul 6, 2024
- License file (Other) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 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: AudioGPT 10k · whishper 3.0k (synced Aug 15, 2026).
Common questions
- What is the difference between AudioGPT and whishper?
- AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. 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 AudioGPT over whishper?
- Choose AudioGPT over whishper when AudioGPT is primarily Python; whishper is Svelte; License: AudioGPT is Other, whishper is AGPL-3.0; Tags unique to AudioGPT: audio, gpt, music, sound; - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech.
- When should I choose whishper over AudioGPT?
- Choose whishper over AudioGPT when whishper is primarily Svelte; AudioGPT is Python; License: whishper is AGPL-3.0, AudioGPT is Other; 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; Also covers Developer Tools; 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 AudioGPT?
- - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access. - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress.
- 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 AudioGPT or whishper more popular on GitHub?
- AudioGPT has more GitHub stars (10,172 vs 3,048). Stars measure visibility, not whether either tool fits your constraints.
- Are AudioGPT and whishper open source?
- Yes - both are open-source projects on GitHub (AudioGPT: Other, whishper: AGPL-3.0).
- Where can I find alternatives to AudioGPT or whishper?
- GraphCanon lists graph-backed alternatives at AudioGPT alternatives and whishper alternatives (AudioGPT 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, AudioGPT or whishper?
- AudioGPT: Dormant. 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 AudioGPT and whishper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AudioGPT trust report; whishper trust report.