In a regulated workflow, a wrong or unverifiable value carries legal, financial, and regulatory weight, and the burden rarely ends when the data lands. An auditor can ask, months later, how a figure on a form became a field in your system, and your tool has to answer.
That is a higher bar than raw accuracy. The APIs below are ranked for it: by the certifications they hold, how they handle and retain data, where they let documents live, and how well they let a reviewer trace a value back to its source.
Every compliance claim here comes from each vendor's own documentation. Confirm the current posture and your specific obligations with each vendor before you process regulated data.
What a compliance review actually checks
Compliance extraction asks four things of a tool, and a gap in any one of them can stall a procurement review.
Certifications and data governance: SOC 2 and ISO certifications provide evidence of audited controls. HIPAA processing depends on a signed BAA and applicable safeguards, while GDPR obligations depend on the parties, processing role, and data-processing terms; none of these labels alone determines what you may legally process.
Data retention and residency: Where documents are stored, for how long, and in which region decides whether sensitive data lingers. Zero data retention and short, configurable windows shrink your exposure.
Traceability and audit: A reviewer has to reconstruct where a value came from. Grounding to a source location, citations, and access logs are what make that reconstruction possible.
Human oversight: For high-stakes values, a review step before the data moves downstream keeps a person accountable for what the system produced.
1. LandingAI ADE
Agentic Document Extraction (ADE) is an API-first platform from LandingAI built for extraction that has to withstand an audit. It carries SOC 2 Type II and GDPR, and HIPAA with a signed BAA on the Team and Enterprise plans, where HIPAA runs together with Zero Data Retention.
Its Zero Data Retention option keeps data only long enough to process a request, then deletes the documents and all intermediate processing data when the operation finishes. For a stricter boundary, the Enterprise plan adds VPC and on-premises deployment, so documents stay inside your own environment.
The audit strength is grounding. Every extracted value ties to a page, a character range, and a bounding box, so a reviewer reconstructs where a value came from long after the extraction ran.
Also read: LandingAI ADE security and compliance: SOC 2 Type II, GDPR, HIPAA, ZDR, and BAA
2. Rossum
Rossum is an enterprise automation platform for transactional paperwork like invoices and purchase orders, with a compliance posture built for regulated operations. It holds SOC 2 Type II, ISO/IEC 27001:2022, and ISO/IEC 42001:2023, and it handles personal data under GDPR with Data Processing Agreements and Standard Contractual Clauses.
A human-in-the-loop validation workspace lets reviewers check values before data moves, and the platform keeps auditable access logs for every data access and change. Customers set their own retention periods and choose an AWS region for residency, with a single-tenant dedicated database available as an option.
3. Reducto
Reducto is an API-first platform for parsing and extracting complex documents, with a posture aimed squarely at data security. It has completed SOC 2 Type I and Type II, and it offers a HIPAA-compliant pipeline for Growth and Enterprise customers under a BAA.
Its Zero Data Retention policy, on the Growth tier and above, expires data submitted through the API within 24 hours, with exceptions for Studio jobs and results you choose to persist. Grounding at the bounding-box level gives reviewers a field-level path back to the source.
Also read: LandingAI ADE vs Reducto document extraction platform comparison
4. Extend
Extend is a managed document platform that maintains controls aligned with SOC 2 Type II and points to its Trust Center for the reports. It states that it is HIPAA compliant and executes Business Associate Agreements, with HIPAA-ready processing across its US and EU deployments.
It is GDPR compliant, and its EU deployment stores and processes customer document data within the EU, with primary infrastructure in Frankfurt. Schema-defined JSON output gives reviewers a structured result to validate against the original.
5. Google Document AI
Google Document AI runs on Google Cloud's compliance program, which carries SOC 2, SOC 3, ISO 27001, ISO 27017, ISO 27018, and PCI DSS. Document AI itself is HIPAA compliant and FedRAMP High compliant.
Google states that it never uses customer data to train its Document AI models. Online requests are processed in memory and stay off disk, batch documents are deleted after processing with a one-day failsafe, and the service supports customer-managed encryption keys and data residency.
6. AWS Textract
Amazon Textract is a managed AWS service, so its compliance follows the AWS program. Textract is a HIPAA-eligible service, which lets you process protected health information under an AWS Business Associate Addendum, and it is FedRAMP compliant.
Retention and audit follow your AWS account: you keep the output inside your own S3 and IAM boundary, and AWS platform logging records access. Textract reads typed and handwritten text from image and PDF files and returns a JSON block graph for your application to consume.
Also read: LandingAI ADE vs AWS Textract
7. Azure AI Document Intelligence
Azure AI Document Intelligence, formerly Form Recognizer, runs under Microsoft's Azure compliance program, with certifications documented in the Microsoft Trust Center. Its own data-handling terms are concrete and worth knowing.
The service stores submitted input and results for 24 hours, then deletes both automatically, and a Delete Analyze Result API removes them earlier. Data is processed and stored temporarily in the same Azure region, logically isolated to your subscription, and encrypted in transit over HTTPS.
Also read: LandingAI ADE vs Azure Document Intelligence
Compliance and data handling compared
| Tool | Certifications | Data retention | Deployment | Audit and traceability |
|---|---|---|---|---|
| LandingAI ADE | SOC 2 Type II, HIPAA with BAA, GDPR | Zero Data Retention option; deleted when processing finishes | SaaS (US, EU), Snowflake, VPC, on-premises | Grounding to page and bounding box |
| Rossum | SOC 2 Type II, ISO 27001, ISO 42001, GDPR | Customer-set retention; AWS region residency | Multi-tenant, single-tenant option | Auditable access logs, human validation |
| Reducto | SOC 2 Type I and II, HIPAA with BAA | ZDR on Growth and above; API data expires in 24 hours | Cloud | Bounding-box grounding |
| Extend | SOC 2 Type II aligned, HIPAA with BAA, GDPR | EU data stays in the EU; see Trust Center | Cloud (US, EU) | Schema-defined JSON output |
| Google Document AI | SOC 2 and 3, ISO 27001, 27017, 27018, PCI DSS, HIPAA, FedRAMP High | In-memory for online, batch deleted after processing | Google Cloud | CMEK and data residency |
| AWS Textract | HIPAA-eligible, FedRAMP | AWS-managed service; async results can be written to your S3 | AWS cloud | AWS platform logging |
| Azure AI Document Intelligence | Documented in Microsoft Trust Center | 24-hour retention, delete API | Azure cloud, regional | Logical isolation per subscription |
The LandingAI row comes from LandingAI's own documentation, and each other row comes from that vendor's own compliance or security documentation. Treat this as a starting point for your own review rather than a substitute for it.
How to choose for a regulated workflow
Start from the obligation you have to meet, since it rules tools in or out before any feature comparison.
If you process protected health information, you need a signed BAA, which LandingAI ADE, Reducto, Extend, Google Document AI, and AWS Textract each support under their stated conditions. If sensitive data cannot linger, zero data retention narrows the field to the tools that offer it, such as LandingAI ADE and Reducto. If documents cannot leave your environment at all, deployment is the deciding factor, and LandingAI ADE's VPC and on-premises options on Enterprise keep processing inside your own infrastructure.
Then weigh traceability, since that is what an auditor tests. Grounding and access logs let a reviewer reconstruct a value, and a human review step adds accountability on the highest-stakes documents. Run your own regulated documents through the shortlist, and confirm each vendor's current certifications and terms directly before you sign.
Also read: How LandingAI supports compliance audits
Frequently asked questions
Which extraction tools are HIPAA compliant?
Several support HIPAA under a BAA, each with its own conditions. LandingAI ADE offers HIPAA with a BAA on Team and Enterprise with Zero Data Retention enabled, Reducto on Growth and Enterprise, and Extend across its US and EU deployments. Google Document AI is HIPAA compliant, and AWS Textract is a HIPAA-eligible service.
What is zero data retention, and which tools offer it?
Zero data retention means the service processes a document and then discards it rather than storing it. LandingAI ADE offers it on the Team and Enterprise plans, deleting documents and intermediate data when the operation finishes, and Reducto offers it on the Growth tier and above, expiring API data within 24 hours.
How do I prove where an extracted value came from?
Traceability is the mechanism. LandingAI ADE and Reducto ground each value to a page and bounding box so a reviewer verifies it against the source, and Rossum keeps auditable access logs for every data access and change.
Can I keep documents inside my own environment?
Yes, with the right tool. LandingAI ADE offers VPC and on-premises deployment on the Enterprise plan, and Rossum offers a single-tenant dedicated database as an option. The hyperscaler services keep processing inside your own cloud account.
Also read: AWS Textract vs Azure Document Intelligence vs Google Document AI vs LandingAI ADE