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A lightweight binary classifier that tells whether a **document region crop** is legible enough to be sent to an OCR model. It labels each crop `good` or `bad`. It is meant to sit between a layout detector and a (vision-language) OCR model. Crops are produced by a detector such as `Inceptive/PP-DocLayoutV3-ONNX`, and this model flags the ones that are too blurry, pixelated or compression-damaged. The pipeline can then skip those regions instead of running expensive inference on them, since unreadable regions are a common source of hallucinated OCR output. The previous release, `Inceptive/document-gate-keeper-v0`, stays available unchanged. **v0.5 expects different preprocessing**, so do not reuse v0's code (see Note for v0 users).

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