Comparison
TurboOCR vs airunner
Verdict
Pick TurboOCR if turboOCR, optimized for GPUs, delivers high-speed OCR with support for TensorRT FP16 acceleration and PP-OCRv5 model; pick airunner if aIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API.
Markdown twin · TurboOCR alternatives · airunner alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | TurboOCR | airunner |
|---|---|---|
| Maintenance | Active (11d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Aug 29, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 29, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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 |
Tagline
- TurboOCR
- Fast GPU-based OCR server for document parsing
- airunner
- Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows
Stars
- TurboOCR
- 1.1k
- airunner
- 1.3k
Forks
- TurboOCR
- 111
- airunner
- 102
Open issues
- TurboOCR
- 1
- airunner
- 1
Language
- TurboOCR
- C++
- airunner
- Python
Adopt for
- TurboOCR
- TurboOCR, optimized for GPUs, delivers high-speed OCR with support for TensorRT FP16 acceleration and PP-OCRv5 model.
- airunner
- AIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API.
Persona
- TurboOCR
- -
- airunner
- -
Runtime
- TurboOCR
- -
- airunner
- -
License
- TurboOCR
- MIT
- airunner
- GPL-3.0, ensuring free use but requiring sharing of modifications in a similar manner.
Last pushed
- TurboOCR
- Sep 8, 2026
- airunner
- Aug 29, 2026
Categories
- TurboOCR
- Computer Vision, Inference & Serving
- airunner
- Computer Vision, Inference & Serving, Speech & Audio
Trust and health
Maintenance
- TurboOCR
- Active (82%)
- airunner
- Very active (96%)
Days since push
- TurboOCR
- 11d
- airunner
- 0d
Stars delta
- TurboOCR
- +92 (30d)
- airunner
- +3 (30d)
Open issues delta
- TurboOCR
- 0 (30d)
- airunner
- -4 (30d)
Full report
- TurboOCR
- Trust report
- airunner
- Trust report
Choose TurboOCR if…
- TurboOCR is primarily C++; airunner is Python.
- License: TurboOCR is MIT, airunner is GPL-3.0.
- Tags unique to TurboOCR: document-ai, document-parsing, gpu-ocr, grpc.
- When you need fast text detection and recognition on GPU-enabled systems
When NOT to use TurboOCR
- If your infrastructure lacks a supported NVIDIA GPU or has less than required VRAM
- In scenarios where the initial TensorRT engine build time cannot be accommodated
Choose airunner if…
- airunner is primarily Python; TurboOCR is C++.
- License: airunner is GPL-3.0, TurboOCR is MIT.
- Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors.
- Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text.
- Also covers Speech & Audio.
- airunner ships Docker support for self-hosted deployment.
- When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities
When NOT to use airunner
- If your primary need is cloud-based services as AIRunner focuses on local deployments only
- In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aiptimizer/TurboOCR) · observed Sep 20, 2026
- GitHub forks (aiptimizer/TurboOCR) · observed Sep 20, 2026
- Last push (aiptimizer/TurboOCR) · observed Sep 8, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Capsize-Games/airunner) · observed Sep 20, 2026
- GitHub forks (Capsize-Games/airunner) · observed Sep 20, 2026
- Last push (Capsize-Games/airunner) · observed Aug 29, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TurboOCR 1.1k · airunner 1.3k (synced Sep 20, 2026).
Common questions
- What is the difference between TurboOCR and airunner?
- TurboOCR: Fast GPU-based OCR server for document parsing. airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose TurboOCR over airunner?
- Choose TurboOCR over airunner when TurboOCR is primarily C++; airunner is Python; License: TurboOCR is MIT, airunner is GPL-3.0; Tags unique to TurboOCR: document-ai, document-parsing, gpu-ocr, grpc; When you need fast text detection and recognition on GPU-enabled systems.
- When should I choose airunner over TurboOCR?
- Choose airunner over TurboOCR when airunner is primarily Python; TurboOCR is C++; License: airunner is GPL-3.0, TurboOCR is MIT; Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors; Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text; Also covers Speech & Audio; airunner ships Docker support for self-hosted deployment; When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities.
- When should I avoid TurboOCR?
- If your infrastructure lacks a supported NVIDIA GPU or has less than required VRAM In scenarios where the initial TensorRT engine build time cannot be accommodated
- When should I avoid airunner?
- If your primary need is cloud-based services as AIRunner focuses on local deployments only In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
- Is TurboOCR or airunner more popular on GitHub?
- airunner has more GitHub stars (1,315 vs 1,078). Stars measure visibility, not whether either tool fits your constraints.
- Are TurboOCR and airunner open source?
- Yes - both are open-source projects on GitHub (TurboOCR: MIT, airunner: GPL-3.0).
- Where can I find alternatives to TurboOCR or airunner?
- GraphCanon lists graph-backed alternatives at TurboOCR alternatives and airunner alternatives (TurboOCR markdown twin, airunner 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, TurboOCR or airunner?
- TurboOCR: Active. airunner: Very active. 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 TurboOCR and airunner?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TurboOCR trust report; airunner trust report.