TextEdit
Not in model cards
Image generation models edit text inside 2,148 real and synthetic images across 18 subcategories. OCR, image-fidelity metrics and a multimodal LLM judge score target accuracy, text preservation and scene integrity.
Released with the InternVL-U technical report on 2026-03-06. Each image has a hand-annotated edited ground truth. A 500-sample mini set is also reported.
Made by OpenCompass (Shanghai AI Laboratory) Released Mar 2026 Documents, charts and text in images All tasks public
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
No scores here yet
We have no scores for TextEdit yet.
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We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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