{"id":550337,"date":"2026-07-23T12:24:27","date_gmt":"2026-07-23T12:24:27","guid":{"rendered":"https:\/\/webkul.com\/blog\/?p=550337"},"modified":"2026-07-23T12:35:27","modified_gmt":"2026-07-23T12:35:27","slug":"baidu-unlimited-ocr","status":"publish","type":"post","link":"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/","title":{"rendered":"Unlimited OCR: Smart Solution for Long documents"},"content":{"rendered":"\n<p><a href=\"https:\/\/webkul.com\/blog\/invoice-data-extraction-ocr-ai\/\">OCR<\/a> has improved a lot. Modern AI can read PDFs, extract tables, understand formulas, and handle complex page layouts.<\/p>\n\n\n\n<p>However, most systems continue to work on the document one page at a time. Because Scaling to longer documents can cause significant memory and speed limitations.<\/p>\n\n\n\n<p>A neat solution is the new Unlimited OCR project launched by Baidu. Rather than having to store all the model&#8217;s output history, it is trained to store only what is important.<\/p>\n\n\n\n<p>The result is a system that is capable of processing dozens of pages, perhaps even books, and has very stable memory space requirements.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Challenge with Long Documents<\/strong><\/h2>\n\n\n\n<p>Transformer-based OCR Models:<\/p>\n\n\n\n<p>They produce text by looking at the whole history of previous tokens. This is great for short documents but is soon very expensive for longer documents:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Memory growth (particularly KV cache)<\/li>\n\n\n\n<li>The longer the inference takes, the more attention computations are required.<\/li>\n\n\n\n<li>Higher GPU requirements<\/li>\n<\/ul>\n\n\n\n<p>That is why traditional methods typically break up documents into separate pages and then join them at the end.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Learning from Human Behavior<\/strong><\/h2>\n\n\n\n<p>The researchers were inspired by the way humans write or copy text.<\/p>\n\n\n\n<p>If you are taking notes from a book with your handwriting, you don&#8217;t remember each previous sentence in your mind.<\/p>\n\n\n\n<p>You primarily reference:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The source material<\/li>\n\n\n\n<li>A small window for the recent output.<\/li>\n\n\n\n<li>Whatever the next part of your work is and whatever you\u2019re doing.<\/li>\n<\/ul>\n\n\n\n<p>As with all information, older information naturally fades.<\/p>\n\n\n\n<p>In Unlimited OCR, a novel mechanism called <strong>Reference Sliding Window Attention (R-SWA)<\/strong>.<\/p>\n\n\n\n<p>That is used to mimic this selective memory approach.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How R-SWA Works<\/strong> in Unlimited OCR<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Traditional setup:<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Current token attends to the entire generated history + input<\/li>\n<\/ul>\n\n\n\n<p><strong>With R-SWA:<\/strong><\/p>\n\n\n\n<p>Current token takes care of original document image + a small window of generated output from the past few seconds.<\/p>\n\n\n\n<p>The model doesn&#8217;t have to keep all of the tokens that it has generated.<\/p>\n\n\n\n<p>This keeps memory use almost the same, even for long documents, so performance stays stable.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Built on DeepSeek OCR<\/strong><br><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"925\" height=\"283\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage.webp\" alt=\"Unlimited OCR Image\" class=\"wp-image-550340\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage.webp 925w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage-300x92.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage-250x76.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage-768x235.webp 768w\" sizes=\"(max-width: 925px) 100vw, 925px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p><em>Image Source :\u00a0<a href=\"https:\/\/huggingface.co\/baidu\/Unlimited-OCR\">huggingface.co\/baidu<\/a><\/em><\/p>\n\n\n\n<p>Unlimited OCR is based on DeepSeek OCR. The following are some of the most important architectural features:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">1) Deep Encoder <\/h4>\n\n\n\n<p>Outputs a small number of visual tokens (e.g., 256) from high resolution document images (e.g., 1024\u00d71024) with high compression<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">2) MoE Decoder<\/h4>\n\n\n\n<p>A MiE with 3B total parameters and only ~500M parameters activated during inference. All the attention layers are implemented using R-SWA to ensure efficiency.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Impressive Results<\/strong> of Unlimited OCR<\/h2>\n\n\n\n<p>Unlimited OCR does more than boost efficiency;<\/p>\n\n\n\n<p>It reads text, formulas, and tables more accurately and understands the correct order of content better.<\/p>\n\n\n\n<p>But even better is its long-horizon feature.<\/p>\n\n\n\n<p>It has been successfully tested on multi page documents (up to 40+ pages) without having to reset memory between pages, which preserves the context throughout the document.<\/p>\n\n\n\n<p>This can help process books, research papers, technical manuals, and reports more effectively.<\/p>\n\n\n\n<p>As the length of the document increases, inference speed is almost constant.<\/p>\n\n\n\n<p>And in long-output settings, they claimed about 35% higher throughput than the DeepSeek baseline.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Broader Implications<\/strong> of Unlimited OCR<\/h2>\n\n\n\n<p>Although it&#8217;s great for OCR, the R-SWA idea is extendable into areas beyond document processing.<\/p>\n\n\n\n<p>The same attention, when used as a reference, can be helpful to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Speech recognition (keeping audio as reference while transcribing) <\/li>\n\n\n\n<li>Machine translation (source text always visible) <\/li>\n\n\n\n<li>Long-form multimodal tasks<\/li>\n<\/ul>\n\n\n\n<p>It introduces a new idea for AI memory: instead of remembering everything, it remembers what matters and forgets what does not.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>One of the core inefficiencies of Traditional OCR  is addressed by Unlimited OCR.<\/p>\n\n\n\n<p>With a smart architecture adjustment and human-inspired selective memory .<\/p>\n\n\n\n<p>Baidu has developed a system that is more efficient and more accurate \u2014 and able to handle documents on scales that were previously clunky.<\/p>\n\n\n\n<p>The model weights are open-sourced on <a href=\"https:\/\/huggingface.co\/baidu\/Unlimited-OCR\">Hugging Face (baidu\/Unlimited-OCR)<\/a> and can be used by the community to explore and build upon.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>Ready for intelligent AI powered Commerce? Your journey starts at\u00a0<a href=\"https:\/\/webkul.com\/\">Webkul.<\/a><\/em><\/p>\n<\/blockquote>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>OCR has improved a lot. Modern AI can read PDFs, extract tables, understand formulas, and handle complex page layouts. However, most systems continue to work on the document one page at a time. Because Scaling to longer documents can cause significant memory and speed limitations. A neat solution is the new Unlimited OCR project launched <a href=\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\">[&#8230;]<\/a><\/p>\n","protected":false},"author":724,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13702],"tags":[13571,7240],"class_list":["post-550337","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-artificial-intelligence","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Unlimited OCR: Smart Solution for Long documents - Webkul Blog<\/title>\n<meta name=\"description\" content=\"Baidu\u2019s Unlimited OCR processes entire books in one pass with stable memory and better accuracy than DeepSeek OCR.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Unlimited OCR: Smart Solution for Long documents - Webkul Blog\" \/>\n<meta property=\"og:description\" content=\"Baidu\u2019s Unlimited OCR processes entire books in one pass with stable memory and better accuracy than DeepSeek OCR.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\" \/>\n<meta property=\"og:site_name\" content=\"Webkul Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/webkul\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-23T12:24:27+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-23T12:35:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage.webp\" \/>\n<meta name=\"author\" content=\"Prashant Saini\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@webkul\" \/>\n<meta name=\"twitter:site\" content=\"@webkul\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Prashant Saini\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\"},\"author\":{\"name\":\"Prashant Saini\",\"@id\":\"https:\/\/webkul.com\/blog\/#\/schema\/person\/53a57eff87fe1f3e9e69c165efdabdc4\"},\"headline\":\"Unlimited OCR: Smart Solution for Long documents\",\"datePublished\":\"2026-07-23T12:24:27+00:00\",\"dateModified\":\"2026-07-23T12:35:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\"},\"wordCount\":657,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/webkul.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/webkul.com\/blog\/wp-content\/uploads\/2026\/07\/ocrimage.webp\",\"keywords\":[\"Artificial Intelligence\",\"machine learning\"],\"articleSection\":[\"machine learning\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\",\"url\":\"https:\/\/webkul.com\/blog\/baidu-unlimited-ocr\/\",\"name\":\"Unlimited OCR: Smart Solution for Long documents - 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