OCR
How to Build a Claims Processor Agent from Scratch? [2025]
We’ll use Stack AI workflow builder for claims automation and create an AI agent to enable users to upload accounting documents—like invoices, receipts, and claim forms—and automatically convert them into structured JSON using OCR and GPT-based processing. The extracted data can then be sent to a Google Sheet or used in custom apps and databases.
Agentic Document Extraction: LandingAI vs. Mistral OCR & more
Agentic Document Extraction (ADE) is a specialized form of Optical Character Recognition (OCR) that extracts data from various file types. It combines document processing, data retrieval, structured output generation, and automation to streamline knowledge work. ADE stands out from traditional OCR by its ability to recognize complex document structures, such as tables, flowcharts, and images.
Invoice OCR Benchmark: Extraction Accuracy of LLMs vs OCRs
Invoice processing is a critical yet labor-intensive business operation that traditionally requires manual data extraction and entry into accounting systems. This manual approach is time-consuming and susceptible to human error.
Receipt OCR Benchmark with LLMs in 2025
Extracting data from receipts is essential for businesses since millions of employees are submitting their work related expenses via receipts. With the latest developments in generative AI and large language models, data extraction accuracy has reached approximately human levels. Benchmark results We used Claude 3.
13 Rossum AI Competitors/Alternatives in 2025
Document processing is crucial in many industries such as finance automation and accounts payable. Alongside accounts payable AI (APAI) solutions, AI-driven Intelligent Document Processing (IDP) vendors such as Rossum capture attention.
5 Steps to OCR Training Data in 2025
The interest in optical character recognition (OCR) and intelligent character recognition (ICR) technology is falling (see figure 1) as companies switch to more automated solutions, such as machine learning-enabled data extraction. However, due to its various benefits, many companies still use1 or plan to use tools powered by OCR technology in their paper-based operations.
OCR Benchmark: Text Extraction / Capture Accuracy [2025]
OCR accuracy is critical for many document processing tasks and SOTA multi-modal LLMs are now offering an alternative to OCR. We tested leading OCR services to identify their accuracy levels in different document types: 2025 OCR benchmark results Product names were shortened above, their full names are listed below.
State of OCR in 2025: Is it dead or a solved problem?
Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today OCR is a relatively mature technology and it is not even called AI anymore which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote: AI is whatever hasn’t been done yet.
Handwriting Recognition Benchmark: LLMs vs OCRs in 2025
Today, OCR technology provides higher than 99% accuracy with typed characters in high-quality images. However, the diversity in human writing types, spacing differences, and handwriting irregularities cause less accurate character recognition, as shown in the featured image. Thus, tools that read handwriting cannot provide the same accuracy that OCR systems offer on typed characters.