Theory & Benchmarks

Deepseek OCR represents a shift from traditional heuristic-based OCR to deep vision-language integration.

Architecture

Deepseek OCR utilizes a unified vision-language architecture. Unlike traditional pipelines that separate text detection and recognition, this model processes the entire image contextually.

• Vision Encoder: A high-resolution transformer-based encoder that captures fine-grained visual features.
• Language Model: A pre-trained language model that predicts text sequences based on visual embeddings, effectively handles noisy backgrounds and complex fonts.
• Global Context: By understanding the semantic layout, the model can disambiguate characters that look similar but have different meanings in context.

Benchmark Results

Deepseek OCR has been evaluated against several industry-standard benchmarks:

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