Articles and updates on receipt and invoice extraction, data processing and automation.
Reading 1 million pages of plain text costs $1,500 at list rates on any of the three big clouds, and as little as $600 once the volume tiers kick in. Extracting structured fields from the same million pages costs between $5,000 and $70,000. Here is the math, per vendor, at July 2026 rates.
Read articleTeams assume batch processing cuts the OCR bill. On Azure, AWS and Google it does not: batch analysis meters at exactly the same rate as a synchronous call. Only the LLM providers discount batch, both by 50%. Here is what batch actually buys you at each vendor.
Read articleOCR reads characters off a page. Data extraction understands which characters are the invoice number, the date and the line items. Here is where one ends and the other begins, and why it changes what you build.
Read articleRaw OCR returns text, not JSON. Here is how to get structured JSON from a scanned document: what raw OCR gives you, what a document extraction API adds, and how to keep the output reliable.
Read articleThree ways to turn a PDF into structured JSON: an open-source library for digital PDFs, an OCR API for scans, and a document extraction API for named fields. When to use each, with code.
Read articleYes, GPT-4o reads documents through vision and extracts fields from a prompt. Here is the code, its real accuracy and cost, the hallucination risk, and when an OCR API is safer.
Read articleHow to extract text from a screenshot: use your OS built-in text capture, a quick web OCR tool, or an image to text API when you need to pull text from screenshots at scale.
Read articleExtract text from a PDF in Java: use Apache PDFBox for digital PDFs, and OCR (tess4j or an OCR API) for scanned PDFs. Code, tradeoffs and when to use each.
Read articleLLM OCR wins on handwriting and messy layouts; traditional OCR wins on clean text, cost and confidence scores. The real difference is how each one fails, with 2026 benchmarks.
Read articleHow to extract text from an image in Python: use pytesseract for offline OCR, or POST the image to an OCR API for structured fields and tables as JSON. Code for both.
Read articleFrom the same family of tools
