Document parsing and extraction / Benchmark leaderboard
Real5-OmniDocBench / MDPBench
Physical capture distortions and multilingual document parsing.
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
Parsing scores by capture condition, script and language.
Execution requirements
Document parser accepting scanned/photographed inputs.
Scope and limitations
Use robustness slices alongside a clean-document baseline; do not call all official-tagged HF entries equally established.
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 ↗Newer robustness extensions
- Hugging Face · Delores-Lin/MDPBench ↗Public · Selected multilingual document robustness extension.
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
Extend: Direct document API after output mapping
Instabase: Direct document API after output mapping
LlamaIndex: Direct document API after output mapping
Mistral: 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