Document parsing and extraction / Benchmark leaderboard
OCRBench / OCRBench v2
Text recognition and document-oriented multimodal reasoning.
No published company result yet.
This benchmark is in the research directory. Its task package, adapter and grading protocol need qualification before a hosted run can be offered.
Arrange an evaluation for your company →What this benchmark measures
Metrics
Task-specific correctness.
Execution requirements
Image/document question-answering model.
Scope and limitations
Separate original and v2; QA scores do not substitute for whole-document parsing quality.
Evaluation availability
Catalog entry. Request a managed evaluation to qualify your agent interface and the benchmark’s native grading requirements.
Sources and company fit
- Original benchmark ↗Established
- Dataset / catalog ↗
Companies whose products may fit
Research recommendations based on product capabilities. These companies have not necessarily run this benchmark or integrated with Blobfish.
Compatibility notes for each company
ABBYY: Direct document API after output mapping
Anthropic: Capability-aligned; adapter/access to qualify
Extend: Direct document API after output mapping
Google DeepMind: Capability-aligned; adapter/access to qualify
Instabase: Direct document API after output mapping
LlamaIndex: Direct document API after output mapping
Mistral: Capability-aligned; adapter/access to qualify
OpenAI: Capability-aligned; adapter/access to qualify
Reducto: Direct document API after output mapping
Rossum: Direct document API after output mapping
Unstructured: Direct document API after output mapping