Update README.md

README.md

@@ -11,6 +11,10 @@
 🚀 <a href="https://huggingface.co/spaces/infly/Infinity-Parser2-Demo">Demo</a>
 </p>
 
+## News
+
+- [2026-05-11] Released flagship document parsing models: [Infinity-Parser2-Pro](https://huggingface.co/infly/Infinity-Parser2-Pro), [Infinity-Parser2-Flash](https://huggingface.co/infly/Infinity-Parser2-Flash), and the dataset [Infinity-Doc2-5M](https://huggingface.co/datasets/infly/Infinity-Doc2-5M). [Infinity-Parser2](Infinity-Parser2) achieves SOTA results on olmOCR-bench and ParseBench.
+
 ## Introduction
 
 We are excited to release Infinity-Parser2, our latest flagship document understanding model. We offer two distinct variants to address diverse deployment constraints: Infinity-Parser2-Pro, optimized for maximum accuracy in precision-critical tasks, achieves state-of-the-art results on olmOCR-Bench (87.6%) and ParseBench (74.3%), surpassing frontier models including DeepSeek-OCR-2, PaddleOCR-VL-1.5, and MinerU-2.5. Infinity-Parser2-Flash, engineered for low-latency inference, delivers a 3.68x speedup over our previous Infinity-Parser-7B model. With significant upgrades to both our data engine and multi-task reinforcement learning approach, the model consolidates robust multi-modal parsing capabilities into a unified architecture, unlocking brand-new zero-shot capabilities across a wide range of real-world business scenarios.
@@ -285,18 +289,18 @@ pil_image = Image.open("demo_data/demo.png").convert("RGB")
 min_pixels = 2048  # 32 * 64
 max_pixels = 16777216  # 4096 * 4096
 prompt = """
-Please output the layout information from the PDF image, including each layout element's bbox, its category, and the corresponding text content within the bbox.
-1. Bbox format: [x1, y1, x2, y2]
-2. Layout Categories: The possible categories are ['header', 'title', 'text', 'figure', 'table', 'formula', 'figure_caption', 'table_caption', 'formula_caption', 'figure_footnote', 'table_footnote', 'page_footnote', 'footer'].
-3. Text Extraction & Formatting Rules:
-    - Figure: For the 'figure' category, the text field should be empty string.
-    - Formula: Format its text as LaTeX.
-    - Table: Format its text as HTML.
-    - All Others (Text, Title, etc.): Format their text as Markdown.
-4. Constraints:
-    - The output text must be the original text from the image, with no translation.
-    - All layout elements must be sorted according to human reading order.
-5. Final Output: The entire output must be a single JSON object.
+- Extract layout information from the provided PDF image.
+- For each layout element, output its bbox, category, and the text content within the bbox.
+- Bbox format: [x1, y1, x2, y2].
+- Allowed layout categories: ['header', 'title', 'text', 'figure', 'table', 'formula', 'figure_caption', 'table_caption', 'formula_caption', 'figure_footnote', 'table_footnote', 'page_footnote', 'footer'].
+- Text extraction and formatting:
+  1) For 'figure', the text field must be an empty string.
+  2) For 'formula', format text as LaTeX.
+  3) For 'table', format text as HTML.
+  4) For all other categories (e.g., text, title), format text as Markdown.
+- The output text must be exactly the original text from the image, with no translation or rewriting.
+- Sort all layout elements in human reading order.
+- Final output must be a single JSON object.
 """
 
 messages = [