[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-infinity-parser2-beats-rival-ocr-models-on-two-benchmarks":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},4549,"infinity-parser2-beats-rival-ocr-models-on-two-benchmarks","Infinity-Parser2 Beats Rival OCR Models on Two Benchmarks","A new open-source document-parsing model claims top scores on two benchmarks, backed by a synthetic 5-million-sample training corpus released alongside it.","A research team has released Infinity-Parser2, a multimodal model built to extract structured content from documents without needing large volumes of hand-labeled data.\n\nThe model's core trick is a synthetic data pipeline that generates and refines its own training examples, producing Infinity-Doc2-5M — a bilingual Chinese-English corpus of 5 million samples covering documents, tables, math formulas, chemical structures, and charts. Rather than treating each parsing task separately, Infinity-Parser2 trains across eight objectives at once using a shared reinforcement learning signal, rewarding the model for getting structure, layout, and content right simultaneously. Two variants ship: a Flash build tuned for speed (3.68x throughput improvement over the previous 7B model) and a Pro build aimed at precision-critical workflows.\n\nDocument parsing is unglamorous infrastructure work, but it underpins a surprising amount of downstream AI — RAG pipelines, financial document extraction, scientific literature ingestion. Most existing tools still struggle with tables, formulas, and mixed-language pages; Infinity-Parser2-Pro's 87.6% on olmOCR-Bench and 74.3% on ParseBench, outperforming DeepSeek-OCR-2, PaddleOCR-VL-1.5, and MinerU2.5, suggests the synthetic-data approach is closing the gap.\n\nBenchmark leads have a habit of evaporating once real-world documents get involved, but releasing both the model and the 5-million-sample corpus under open licenses gives the research community something concrete to stress-test.","[\"document-parsing\",\"multimodal\",\"open-source\",\"ocr\"]","2026-07-10T04:00:00.000Z","2026-07-10T04:32:50.762Z","2026-07-10T04:32:53.751Z","published",null,[],"ai",[26,27,28,29],"document-parsing","multimodal","open-source","ocr",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.07836",0,{"sections":36},[37,41,46,51,56,61,66,71,76,81,86,90,95,100],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":45},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":47,"slug":48,"count":49,"latest_published_at":50},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":52,"slug":53,"count":54,"latest_published_at":55},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":57,"slug":58,"count":59,"latest_published_at":60},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":72,"slug":73,"count":74,"latest_published_at":75},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":87,"slug":88,"count":84,"latest_published_at":89},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":101,"slug":102,"count":103,"latest_published_at":104},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]