AI TrustMark

Data extraction companies, products & suppliers

Data extraction products pull defined fields from documents, emails or web sources into structured records. Unlike general Document AI, the buyer usually brings a schema. The assurance question is field-level accuracy and how source files are stored.

What is Data extraction?

Data extraction products pull defined fields from documents, emails or web sources into structured records. Unlike general Document AI, the buyer usually brings a schema. The assurance question is field-level accuracy and how source files are stored.

What problems does it solve?

Defined fields still live in PDFs and inboxes.

Typical business use cases

  • Claims intake
  • Onboarding packs
  • Web-to-record

Important capabilities

  • Schema mapping
  • Validation
  • Human correction
  • APIs

What buyers should evaluate

  • Field accuracy
  • Schema flexibility
  • Training data

Risks and governance considerations

Silent field errors in downstream finance or KYC.

Procurement checklist

  • Field SLAs
  • Review queue
  • Source retention

Relevant AI Trustmark assurance

Extraction quality is supplier-claimed until independently sampled on agreed documents.

Methodology · How verification works

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • ABBYY Vantage

    By ABBYY

    ABBYY Vantage is an intelligent document processing (IDP) platform for capturing, extracting, and processing data from business documents. It is positioned for straight-through pro

  • Amazon Textract

    By Amazon Web Services

    Amazon Textract is an AWS machine learning service that uses OCR to extract printed text, handwriting and structured data from scanned documents, PDFs, forms and tables. It also of

  • Google Cloud Document AI

    By Google

    Google Cloud Document AI is a document processing platform for extracting, classifying and splitting data from documents. Its generative AI powered custom extractor pulls structure

  • Klippa DocHorizon

    By Klippa

    Klippa DocHorizon is Klippa's platform, from Klippa App B.V. Published at klippa.com. Directory filing: Data extraction. Vendor legal name on this product record: Klippa App B.V. K

  • LlamaExtract

    By LlamaIndex

    LlamaExtract is LlamaIndex's model API, from LlamaIndex, Inc. Published at llamaindex.ai/llamaextract. Directory filing: Data extraction. Vendor legal name on this product record:

  • Mindee API

    By Mindee

    Transform your document workflows with Mindee's AI-powered data extraction APIs. Automate data capture from invoices, receipts, IDs, and more with industry-leading accuracy an

  • Ocrolus Capture

    By Ocrolus

    Automate financial document analysis with AI precision. Ocrolus empowers lenders with accurate data, faster decisions and industry-specific intelligence to automate your workflows.

  • Parseur

    By Parseur

    Parseur is an AI data extraction software that helps you automate text extraction from PDFs, emails, and other documents. Instantly send extracted data to all your applications. Lt

  • Reducto

    By Reducto

    Reducto is the agentic document platform for leading AI teams—a comprehensive toolkit for every document task, built for enterprise performance at scale. Reducto is Reducto's model

  • Sensible

    By Sensible

    Extract structured data from any document. Schema-validated, traced to source coordinates, scored for confidence. Built for engineering teams in production. Sensible is Sensible's

  • Unstructured Platform

    By Unstructured

    Transform complex, unstructured data into clean, AI-ready inputs. Connect to any source, process 64+ file types, and power your GenAI projects. Start now. Unstructured Platform is

  • Veryfi OCR API

    By Veryfi

    Documents into Data — securely, in seconds. APIs, Agents & SDKs powered by Veryfi AI, enabling multimodal document extraction, fraud detection, and endless business use cases. Very

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

Is this the same as Document AI?

Related. Extraction is schema-first. Document AI may also classify and summarise without a buyer-defined schema.

What is Data extraction?

Data extraction products pull defined fields from documents, emails or web sources into structured records. Unlike general Document AI, the buyer usually brings a schema. The assurance question is field-level accuracy and how source files are stored.

What should buyers ask about AI data retention and deletion?

Establish how long prompts, files, traces and embeddings are kept, who can access them, and how deletion is evidenced. Retention in a debug or eval store can outlast the customer contract if it is not in scope.

How can buyers tell whether customer data is used to train models?

Ask whether prompts, files, logs or outputs are used to train, fine-tune or evaluate models, including by subprocessors. Require the contractual default, any opt-out, and whether the setting can be changed silently. Treat marketing 'we do not train' claims as unverified until evidenced.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.