Don't let a document's size slow down your data extraction. With Sensible, you can easily parse accurate data from any document in under a minute. Sensible provides reliable and accurate data extraction structured forms and free-text documents using advanced technologies like GPT-4 and LLMs.
Extract all the data points you need from a document without latency.
Extract from any document – even your most complex –from day one with confidence.
Leverage LLMs to reliably extract data from your documents with less configuration and set up.
Choose your extraction method:
Docparser's limitations, including the necessity for parsing rule hierarchy, inability to refactor parsing rules, and 30 page maximum can make data extraction from unique documents a complex task. Sensible empowers users to effortlessly extract data from any document, regardless of its uniqueness, making it a more versatile and user-friendly option.
Sensible, with its API-first design, easily integrates with your existing products or services. You can also connect Sensible to Google Drive, Airtable, Salesforce, and 5,000+ other tools using Zapier. As your requirements evolve, Sensible can adapt and grow alongside you.
With per-document billing, you can confidently track, budget, and plan without any unexpected costs. There are no limitations on document types, extractable fields, or platform features. Enjoy unrestricted access to everything Sensible has to offer.
Get started with Sensible's free plan, offering 100 document extractions per month. Paid plans start at just $499/month and include 750 document extractions.
Sensible handles your longest documents – even hefty mortgage applications spanning over 100 pages. No need to manually parse files to fit restrictive upload limits.
While Docparser users grapple with uploading even 30-page documents and suffer from slow extraction speeds, Sensible assures effortless uploading and speedy, reliable extraction to safeguard your mission-critical SLAs.
Document extraction platforms typically offer usage-based tiers with overages, but the definition of ‘usage’ differs by company. Some bill per page, some per document. Page-based billing can be unpredictable, leading to unexpected costs that might hurt your budget. On the other hand, document-based pricing is steadier, keeping your spending in check.
Sensible bills per document, providing you a clear and predictable cost. With Sensible, you can budget confidently and never worry about surprise overages.
Different documents, different needs. Whether it's a bunch of highly variable free-text documents, a set number of consistent, structured forms, or something in between, your extraction platform should handle it all. It should be able to deal with any layout - tables, invoices, contracts, and more.
The ideal platform should be customizable to adapt to your specific needs.
With Sensible, you can extract data from any document - structured or unstructured. Use Sensible Instruct to instantly extract data from any document, even ones you’ve never seen before or SenseML for precise extraction from structured documents.
Some use-cases require real-time data extraction and consistent SLA adherence is crucial. While human-reviewed solutions can increase accuracy, the tradeoff is a 30 minute lag time at a minimum.
Automated extraction tools like Sensible can deliver comparable – or higher – accuracy rates, and they do it in real-time. With Sensible, you get accurate data extracted from your documents in under a minute. No compromise, no delay.
A document extraction platform should not only seamlessly integrate into your existing workflow without the need for extensive modifications, but it should also be capable of growing and adapting with your needs over time.
Look for platforms that offer compatible APIs, connectors, and plugins for your tech stack.
Sensible is API-first, providing easy connection into your platform and tools. Use our Zapier integration to connect to over 5,000 third-party tools. As your requirements evolve, Sensible can adapt and grow alongside you, eliminating the need to start from scratch.