If you're looking for a platform that can extract custom data for different use cases like resume extraction and customer data analysis, DATAKU is a good option. It uses Large Language Models (LLMs) to convert unstructured text into structured data at scale. The service includes Document Insights, Text Intelligence, and Tailored Data Extraction, and is good for recruitment, customer feedback analysis, market trend spotting, and financial document analysis. DATAKU offers tiered pricing, from a free "Beginner" plan to an "Enterprise" plan with custom pricing.
Another good option is Parsio. This automated data extraction tool uses AI and OCR technology to extract structured data from unstructured documents like emails, PDFs and images. It supports multilanguage and can send data to destinations like Google Sheets, CRM systems and more than 6,000 other apps. Parsio doesn't require any programming setup and can be integrated with a variety of tools, and it offers a free trial and a few pricing tiers.
If you prefer an API-based approach, Sensible is an API-first document processing service geared for developers and product teams. It supports sophisticated parsing techniques and can be integrated with existing applications through SDKs, APIs and webhooks. Sensible is good for extracting data from resumes, invoices, contracts and more, and it has security options like SOC-2 and HIPAA compliance. It charges based on the number of documents processed, with tiered pricing.
If you want a heavy-duty GPT-based parsing service, check out Airparser. It can extract structured data from a range of documents, including emails, PDFs, images and more. Airparser can integrate with tools like Google Sheets, Slack and QuickBooks and has strong security options. It charges by the credit, with a 30-credit trial available to try its features.