Home/Compare/TurboOCR vs litellm

Comparison

TurboOCR vs litellm

Verdict

Pick TurboOCR when turboOCR is primarily C++; litellm is Python; pick litellm when litellm is primarily Python; TurboOCR is C++.

Markdown twin · TurboOCR alternatives · litellm alternatives

GraphCanon updated today

TurboOCR logo

TurboOCR

aiptimizer/TurboOCR

382pushed Jul 8, 2026
vs
litellm logo

litellm

BerriAI/litellm

53kpushed Jul 11, 2026

Trust & integrity

SignalTurboOCRlitellm
Maintenance
Active (7d since push)
As of today · github_public_v1
Very active (0d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
Published findings
As of 4d · 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 OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC.
litellm
Python SDK and Proxy Server for calling multiple LLM APIs

Stars

TurboOCR
382
litellm
53k

Forks

TurboOCR
50
litellm
9.7k

Open issues

TurboOCR
2
litellm
3.9k

Language

TurboOCR
C++
litellm
Python

Adopt for

TurboOCR
-
litellm
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

TurboOCR
-
litellm
-

Runtime

TurboOCR
-
litellm
-

License

TurboOCR
MIT
litellm
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.

Last pushed

TurboOCR
Jul 8, 2026
litellm
Jul 11, 2026

Categories

TurboOCR
Inference & Serving, LLM Frameworks, Speech & Audio
litellm
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

TurboOCR
Active (82%)
litellm
Very active (96%)

Days since push

TurboOCR
7d
litellm
0d

Open issues (now)

TurboOCR
2
litellm
3.9k

OSV dependency advisories

TurboOCR
No lockfile (source not queried)
litellm
Published findings

Full report

TurboOCR
Trust report

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.

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.

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 litellm

  • If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.

Explore

Sources

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

GitHub stars on cards: TurboOCR 382 · litellm 53k (synced Jul 15, 2026).

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 and litellm alternatives (TurboOCR markdown twin, litellm 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 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; litellm trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.