Apify vs Google Document AI — Comparison

Apify

Cloud platform for web scraping, browser automation, AI agents, and data for AI. Use 23,000+ ready-made tools, code templates, or order a custom solut

We’re building the world’s largest platform for web data and tools for AI builders. Legal info Apify was launched by Jan Čurn and Jakub Balada in 2015 from the Y Combinator Fellowship in Mountain View, California. The original idea was to make it easy for developers to build flexible and scalable web crawlers simply using front-end JavaScript, thanks to the back-then new headless browser technology. In 2016, the team moved back to the Czech Republic, raised a seed investment, and started building a company around its product. Soon it became obvious that customers’ use cases need more than a simple JavaScript crawler, so we committed to building the most flexible full-stack platform for web scraping and browser automation. We're helping people get more value from the web, letting them automate mundane tasks and spend their time on things that matter. We strive to keep the web open as a public good and a basic right for everyone, regardless of the way you want to use it, as its creators intended. Trusted by industry leaders all over the world Ready-made Actors in Apify Store Prague startup Apify raises €2.8M for AI data mining Apify Powers Web Insights for Businesses, Cuts Cloud Costs by 25% Using AWS Sifted 30 ranks the fastest-growing startups across Central Europe Apify is a proud supporter of various non-profit projects and organizations. Bay Area hub for European startups expanding to the US. Linux Foundation project advancing agentic AI standards. Price transparency tool exposing fake e-commerce discounts. Real estate monitoring service built on Apify. Prague initiative to become a European AI hub. Non-profit helping women build careers in IT and data. Represents Czech startups in government dialogue. Charity that brings happiness to children from orphanages. Czech podcast and community for data professionals. Resources for presenting the Apify brand consistently and professionally. We’re looking for smart, talented, and ambitious people to join our growing team. Join us and help people get more value from the web.

Google Document AI

The Document AI solutions suite includes pretrained models for document processing, Workbench for custom models, and Warehouse to search and store.

Create document processors that help automate tedious tasks, improve data extraction, and gain deeper insights from unstructured or structured document information. Document AI helps developers create high-accuracy processors to extract, classify, and split documents. Seamlessly connect to BigQuery, Vertex Search, and other Google Cloud products Enterprise-ready, along with Google Cloud's data security and privacy commitments Built for developers; use the UI or API to easily create document processors Use generative AI to extract data or classify documents out of the box, with no training necessary to get started. Simply post a document to an enterprise-ready API endpoint to get structured data in return. Document AI is powered by the latest foundation models, tuned for document tasks. Also, with powerful fine-tuning and auto-labeling features, the platform offers multiple paths to reach the required accuracy. Structure and digitize information from documents to drive deeper insights using generative AI to help businesses make better decisions. Extract data from your documents using generative AI.  For full product capabilities head to Document AI in the Google Cloud Console. Document AI Workbench provides an easy way to build custom processors to classify, split, and extract structured data from documents. Workbench is powered by generative AI, which means it can be used out of the box to get accurate results across a wide array of documents. Furthermore, you can achieve higher accuracy by providing as few as 10 documents to fine-tune the large model—all with a simple click of a button or an API call. With Enterprise Document OCR, users gain access to 25 years of optical character recognition (OCR) research at Google. OCR is powered by models trained on business documents and can detect text in PDFs and images of scanned documents in 200+ languages. The product can see the structure of a document to identify layout characteristics like blocks, paragraphs, lines, words, and symbols. Advanced features include best-in-class handwriting recognition (50 languages), recognizing math formulas, detecting font-style information, and extracting selection marks like checkboxes and radio buttons. Try Document OCR now for accurate text and layout extraction. Developers use Form Parser to capture fields and values from standard forms, to extract generic entities, including names, addresses, and prices, and to structure data contained in tables. This product works out of the box and does not require any training or customization and is useful across a broad range of document customization. Explore document processing with Form Parser. Try out pretrained models for commonly used document types including W2, paystub, bank statement, invoice, expense, US driver license, US passport, and identity proofing. Explore pretrained options in the processor gallery. Document AI is helping customers improve fraud detection, automate customer support, and pro

Apify

Google Document AI

Apify

Google Document AI

Apify

Google Document AI