--- title: "TurboOCR vs litellm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aiptimizer-turboocr-vs-berriai-litellm" tools: ["aiptimizer-turboocr", "berriai-litellm"] --- # TurboOCR vs litellm *GraphCanon updated Jul 15, 2026* ## Verdict Pick TurboOCR when turboOCR is primarily C++; litellm is Python; pick litellm when litellm is primarily Python; TurboOCR is C++. [TurboOCR](https://turboocr.com) reports 382 GitHub stars, 50 forks, and 2 open issues, last pushed Jul 8, 2026. [litellm](https://docs.litellm.ai/docs/) has 53k stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [TurboOCR's repository](https://github.com/aiptimizer/TurboOCR) and [litellm's repository](https://github.com/BerriAI/litellm). | | [TurboOCR](/tools/aiptimizer-turboocr.md) | [litellm](/tools/berriai-litellm.md) | | --- | --- | --- | | Tagline | Fast GPU OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC. | Python SDK and Proxy Server for calling multiple LLM APIs | | Stars | 382 | 53,271 | | Forks | 50 | 9,671 | | Open issues | 2 | 3,915 | | Language | C++ | Python | | Adopt for | - | litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging. | | Persona | - | - | | Runtime | - | - | | License | MIT | The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source. | | Categories | Inference & Serving, LLM Frameworks, Speech & Audio | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TurboOCR](/tools/aiptimizer-turboocr.md) | [litellm](/tools/berriai-litellm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 0d | | Open issues (now) | 2 | 3.9k | | Full report | [trust report](/tools/aiptimizer-turboocr/trust.md) | [trust report](/tools/berriai-litellm/trust.md) | ## Decision facts: litellm - **Pricing:** freemium - While the core functionality is provided free, specific extended features might require a paid plan. - **Requirements:** Requires Docker - **Adopt for:** litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging. - **License detail:** The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source. ## Choose when ### Choose TurboOCR if… - TurboOCR is primarily C++; litellm is Python. - License: TurboOCR is MIT, litellm is Other. - Tags unique to TurboOCR: document-ai, document-parsing, easyocr, fastapi. - Also covers Speech & Audio. ### Choose litellm if… - litellm is primarily Python; TurboOCR is C++. - License: litellm is Other, TurboOCR is MIT. - Pricing: While the core functionality is provided free, specific extended features might require a paid plan.. - Requirements: Requires Docker. - Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm. - litellm ships Docker support for self-hosted deployment. - When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging ## When NOT to use TurboOCR - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use litellm - If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ## Common questions ### What is the difference between TurboOCR and litellm? TurboOCR: Fast GPU OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC.. litellm: Python SDK and Proxy Server for calling multiple LLM APIs. See the comparison table for live GitHub stats and shared categories. ### When should I choose TurboOCR over litellm? Choose TurboOCR over litellm when TurboOCR is primarily C++; litellm is Python; License: TurboOCR is MIT, litellm is Other; Tags unique to TurboOCR: document-ai, document-parsing, easyocr, fastapi; Also covers Speech & Audio. ### When should I choose litellm over TurboOCR? Choose litellm over TurboOCR when litellm is primarily Python; TurboOCR is C++; License: litellm is Other, TurboOCR is MIT; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging. ### When should I avoid TurboOCR? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid litellm? If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ### Is TurboOCR or litellm more popular on GitHub? litellm has more GitHub stars (53,271 vs 382). Stars measure visibility, not whether either tool fits your constraints. ### Are TurboOCR and litellm open source? Yes - both are open-source projects on GitHub (TurboOCR: MIT, litellm: Other). ### Where can I find alternatives to TurboOCR or litellm? GraphCanon lists graph-backed alternatives at [TurboOCR alternatives](/tools/aiptimizer-turboocr/alternatives) and [litellm alternatives](/tools/berriai-litellm/alternatives) ([TurboOCR markdown twin](/tools/aiptimizer-turboocr/alternatives.md), [litellm markdown twin](/tools/berriai-litellm/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/aiptimizer-turboocr-vs-berriai-litellm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TurboOCR or litellm? TurboOCR: Active. litellm: 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 litellm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TurboOCR trust report](/tools/aiptimizer-turboocr/trust); [litellm trust report](/tools/berriai-litellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aiptimizer-turboocr`](/api/graphcanon/graph?tool=aiptimizer-turboocr) - 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/_