Guides and pricing comparisons on OCR, AI document data extraction, and intelligent document processing for teams evaluating tools.
Three of the four leading open source document parsers show a permissive license badge on GitHub and attach commercial conditions somewhere else. Docling is the one that does not. Here is the license, benchmark and cost comparison for teams choosing a parser they intend to ship.
Read articleForwarders replace ABBYY when the document set stops matching the templates. Here is why bills of lading break template capture, what the real alternatives are, and how to test them in a week.
Read articlePaddleOCR-VL-1.6 leads table reconstruction at 94.76 TEDS. Among commercial APIs, the cheaper Gemini tier beats the expensive one, and asking for a table costs six to twenty times what the text costs.
Read articleTextract detects tables well and hands you none of them as a spreadsheet. It returns a graph of Block objects, and AWS answers the CSV question with a code sample. Here is what the response really contains, the one documented behavior that quietly ruins most exports, and what the TABLES feature costs against plain text.
Read articleMarkItDown is the default recommendation for turning documents into markdown for LLMs, and it works beautifully until someone hands you a scan. Here is exactly what the shipped code does with a PDF, what its README means by OCR, and what it costs to fix.
Read articleThey are the same service. Microsoft renamed Azure Form Recognizer to Azure AI Document Intelligence in July 2023, but the API redesign that came with v3.0 did change real things in your code: bounding boxes became polygons, every endpoint moved under documentModels, and custom models now expire.
Read articleThe model is free and the GPU is $587.50 a month whether it reads a page or not. Real AWS rates, the effective cost per 1,000 pages at every volume, and why the widely quoted $176 per million figure describes a saturated fleet rather than your workload.
Read articleGemini 2.5 Flash-Lite at about $0.33 per 1,000 pages is the cheapest language model for reading documents, with GPT-6 Luna next at about $0.62 and GPT-5.4-nano at $1.44. Every model converted from token pricing.
Read articleBuy, unless you clear about half a million pages a month or a contract forbids documents leaving your network. The real break-even is 391,700 pages a month, and the open model cost advantage over an LLM has fallen from 35x to under 5x.
Read articleThe Google Document AI rate limit is set by adjustable quotas, including 5 concurrent batch requests per project and provisioned throughput of about 120 pages per minute. Here is how to read the quotas, fix RESOURCE_EXHAUSTED errors, and scale.
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