Korean Document OCR — Built for Korean Content
Structure Korean documents, including vertical text, historical scripts, and technical terminology, with a Korean-specialized Vision-LLM.
Why it's hard
Overseas OCR struggles with Korean particles, spacing, and vertical writing, leading to frequent misrecognition.
For Korean documents mixed with technical terms or archaic spelling, general models easily lose the context.
The DEEP Agent approach
DEEP Agent extracts text with contextual understanding using a Vision-LLM specialized for Korean documents.
It structures content while preserving paragraph structure and flow, reducing the burden of review and post-processing.
Extraction results from real documents
Below are the results of processing real documents with DEEP Agent.
Frequently asked questions
How accurate is Korean text recognition?
Trained specifically on Korean documents, it handles particles, spacing, and technical terms accurately through context.
Can it recognize vertical writing and historical spelling?
Because the Vision-LLM reads layout and context together, it recognizes non-standard notation as well.
Does it support English and Japanese documents?
Yes. It supports multiple languages, with particular strength on Korean documents.
Can I integrate it through an API?
Send documents through the REST API to receive structured results and integrate them into your existing systems.
Try it with your own document
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