Which document parsing APIs provide data residency encryption and zero-retention options for regulated records?
Data as of Sep 21, 2026 · Based on 32 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
Data as of Sep 21, 2026 · Based on 32 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
Brands AI recommends here
Named in 72% of answers
Named in 69% of answers
Named in 66% of answers
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Source | Citation share |
|---|---|
 What is Data Residency in Document AI?https://www.llamaindex.ai/glossary/data-residency-in-document-ai | 3% |
 Service encryption of data at rest - Document Intelligence - Foundry Tools | Microsoft Learnhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/encrypt-data-at-rest | 3% |
 Encryption in Amazon Textract - Amazon Textracthttps://docs.aws.amazon.com/textract/latest/dg/encryption.html | 2% |
Zero Data Retention (ZDR) Option Overview - LandingAIhttps://docs.landing.ai/ade/zdr | 2% |
 Data Extraction API For Documents - The Complete Guide ...https://parseur.com/blog/data-extraction-api | 2% |
 Agentic Document Extraction APIs - LandingAIhttps://landing.ai/llms | 2% |
Data, privacy, and security for Document Intelligence - Foundry Tools | Microsoft Learnhttps://learn.microsoft.com/en-us/azure/foundry/responsible-ai/document-intelligence/data-privacy-security | 2% |
Data Protection in Amazon Textract - Amazon Textracthttps://docs.aws.amazon.com/textract/latest/dg/data-protection.html | 2% |
Best Document Parsing APIs 2026 - LandingAIhttps://landing.ai/llms/best-document-parsing-apis-2026 | 2% |
When Zero Data Retention Is Not Enough - Landing AIhttps://landing.ai/llms/when-zero-data-retention-is-not-enough-on-premises-deployment-for-document-ai | 2% |
When handling regulated records (such as HIPAA, GDPR, or financial data), standard document parsing is insufficient; you need verifiable data residency, transit/rest encryption, and strict zero-retention (or ephemeral-only) processing. The top document parsing and extraction APIs supporting these enterprise security…
When handling regulated records (such as HIPAA, GDPR, or financial data), standard document parsing is insufficient; you need verifiable data residency, transit/rest encryption, and strict zero-retention (or ephemeral-only) processing.
The top document parsing and extraction APIs supporting these enterprise security postures include:
retention=0 ) for Enterprise customers where files are purged instantly post-processing. Growth tiers and above default to a strict 24-hour expiration window. Supports regional data residency setups (e.g., EU pinning).dataRetention.mode to zero in the parse API request body, ensuring ephemeral run data is immediately purged instead of utilizing default workspace storage.If you'd like to narrow this down, let me know:
For regulated records, the key distinction is **“short/automatic deletion” vs. true contractual zero retention**. Based on current vendor documentation, these are the strongest candidates: API | Data residency | Encryption | Retention / zero-retention | Notes --- | --- | --- | --- | ---
For regulated records, the key distinction is “short/automatic deletion” vs. true contractual zero retention. Based on current vendor documentation, these are the strongest candidates:
| API | Data residency | Encryption | Retention / zero-retention | Notes |
|---|---|---|---|---|
| Microsoft Azure AI Document Intelligence | Yes — processing and temporary storage occur in the resource’s region | TLS; AES-256 at rest; customer-managed keys supported | 24 hours by default, with an API to delete sooner | Strong fit when 24-hour transient storage is acceptable. Microsoft Learn Microsoft Learn |
| Nanonets Document Intelligence | Yes — US, EU, and APAC; private VPC/single-tenant/on-prem options | AES-256 at rest, TLS 1.3; BYOK | Advertises data-lifecycle controls and customer-boundary deployments; verify contractual zero-retention terms | Particularly interesting for highly controlled deployments. Nanonets Nanonets |
| Veryfi OCR / AnyDocs | Yes — US by default; EU residency available on request | TLS 1.2+; AES-256 at rest | auto_delete can delete the document immediately after extraction; configurable retention periods | Closest to an API-level “process then delete” workflow, although this is not necessarily the same as contractual zero retention. Veryfi Help Center Veryfi Help Center Veryfi |
| Amazon Textract | Yes — AWS regional architecture | TLS; S3 SSE-S3/SSE-KMS, including customer-managed KMS keys | Depends heavily on how you architect the S3 workflow; AWS documents deletion/non-retention controls for certain processing data | Excellent if you want the document to remain within your AWS environment and control the storage lifecycle yourself. AWS Documentation AWS Documentation |
For HIPAA/financial/legal records where you need strict residency + encryption + minimal retention, I'd investigate:
auto_delete option is unusually explicit. Important: I would not label any of these “zero retention” solely from the marketing pages. For regulated records, ask each vendor for a written answer to: (1) Is customer content ever persisted after the synchronous response? (2) Are logs/debugging copies retained? (3) Is data used for model training? (4) Can retention be contractually set to zero? (5) Where are subprocessors located? (6) Can customer-managed keys be used? (7) Is the residency commitment contractual rather than merely a default configuration?
If you tell me whether you're targeting HIPAA, SEC/FINRA, GDPR, CJIS, or another regime, I can turn this into a more rigorous vendor comparison with BAA/DPA, regional processing, CMK/BYOK, deletion SLA, SOC 2/ISO 27001, and actual zero-retention commitments.
**Major enterprise cloud providers including** **[Amazon Textract](https://aws.amazon.com/textract/), [Google Cloud Document AI](https://cloud.google.com/document-ai) , and [Microsoft Azure Document Intelligence](https://azure.microsoft.com/en-us/products/ai-foundry/tools/document-intelligence)** ** provide robust…
Major enterprise cloud providers including Amazon Textract, Google Cloud Document AI , and Microsoft Azure Document Intelligence ** provide robust data residency, encryption at rest/in transit, and strict non-retention/no-training commitments for regulated records.**
When handling regulated data (such as HIPAA, GDPR, or financial records), these enterprise document parsing APIs ensure that data remains localized, encrypted, and excluded from public model training.
| Provider / API | Data Residency Control | Encryption Support | Retention & Training Policy |
|---|---|---|---|
| Amazon Textract | Regional endpoints (AWS accounts dictate exact geographical storage) | TLS in transit; AWS KMS or Customer-Managed Keys (CMK) at rest | Customer content is not used for model training; temporary processing data is deleted after execution |
| Google Cloud Document AI | Region-specific processing endpoints (EU, US, etc.) | TLS in transit; Customer-Managed Encryption Keys (CMEK) via Cloud KMS | Data processed synchronously is not persisted beyond immediate execution logs; zero usage for baseline training |
| Microsoft Azure Document Intelligence | Geographically paired or single-tenant regional resource deployment | TLS 1.2/1.3 in transit; Customer-Managed Keys (CMK) via Azure Key Vault | Data is processed in memory/ephemeral storage; inputs/outputs are not used to train foundational models |
If you can share the regulatory framework you need to comply with (such as HIPAA, GDPR, or FINRA) and your preferred cloud ecosystem , I can detail the specific compliance configuration steps or contract addendums required.
For **regulated records**, I’d shortlist vendors based on three separate controls: **regional residency**, **encryption/key control**, and **true zero retention**. They’re not interchangeable. API / platform | Data residency | Encryption / key control | Zero-retention | Regulated-use notes --- | --- | --- | --- | ---
For regulated records, I’d shortlist vendors based on three separate controls: regional residency, encryption/key control, and true zero retention. They’re not interchangeable.
| API / platform | Data residency | Encryption / key control | Zero-retention | Regulated-use notes |
|---|---|---|---|---|
| Google Cloud Document AI | Yes — regional processing/storage | CMEK, VPC Service Controls | Near-zero for synchronous requests; batch documents can persist up to 1 day | HIPAA and FedRAMP High; particularly strong if you already use GCP Google Cloud Documentation Google Cloud Documentation |
| Microsoft Azure AI Document Intelligence | Yes — processing occurs in the resource's region | Encryption + Azure security controls | Not generally an absolute ZDR guarantee; input/results are temporarily stored | Strong option for Azure/Microsoft-regulated environments Microsoft Learn |
| Extend Parse APIs | Enterprise/workspace controls | SSL and enterprise security controls | Yes, including per-parse dataRetention.mode=zero for eligible organizations | One of the clearest choices if actual parser-level ZDR is a hard requirement Extend Developer Documentation |
| LandingAI ADE | US or EU hosted regions; VPC deployment can be customer-controlled | Encryption controls; VPC deployment | Yes on qualifying plans; VPC deployment is inherently customer-controlled | Attractive for EU residency or keeping processing inside your own cloud LandingAI |
| Anthropic Claude API (for document extraction rather than a dedicated parser) | Configurable inference geography | Enterprise security / encryption controls | Yes, for eligible API features | ZDR is strong, but the Files API is explicitly not ZDR-eligible, so stateless document submission matters Claude |
| OpenAI API (for document extraction) | Regional data residency available for eligible customers | AES-256 at rest, TLS in transit; EKM available | Yes, for qualifying API customers | Strong enterprise controls, but verify that the particular endpoint/workflow is covered by your ZDR arrangement OpenAI |
Important caveat: “encrypted,” “not used for training,” and “zero retention” are different claims. For HIPAA, financial records, legal privilege, or government records, I'd require the vendor to contractually confirm (1) processing/storage geography, (2) encryption and who controls keys, (3) exact retention TTL including backups/logs, (4) subprocessors, and (5) the specific API endpoints covered by ZDR.
If you tell me whether the records are HIPAA/PHI, PCI, financial, legal, or government/FedRAMP, I can narrow this to the 3–5 APIs that best fit that regulatory regime.
Handling regulated records (such as financial, healthcare, or government data) often requires strict adherence to data sovereignty and privacy mandates (e.g., GDPR, HIPAA, SOC 2). `Several specialized and hyperscale document extraction APIs` explicitly cater to these requirements by offering regional data residency,…
Handling regulated records (such as financial, healthcare, or government data) often requires strict adherence to data sovereignty and privacy mandates (e.g., GDPR, HIPAA, SOC 2). Several specialized and hyperscale document extraction APIs explicitly cater to these requirements by offering regional data residency, encryption (at rest and in transit), and zero-data-retention (ZDR) or ephemeral processing models.
retention=0 ) for enterprise clients where documents are processed entirely in-memory or cleared immediately after extraction, leaving no long-term backups or cached artifacts. It also supports regional data residency configurations (such as the EU) and complies with HIPAA and SOC 2 Type II via custom plans. Learn more via the Reducto Trust Center.Are you looking for a fully managed cloud API (like Google/AWS), or do you need a self-hosted / air-gapped solution that runs strictly inside your own private infrastructure?
For regulated records, the key distinction is between **encryption + regional processing** and **true zero-retention (no provider persistence after processing)**. Many document parsing APIs provide the former; fewer provide a configurable or contractual zero-retention mode. API / service | Data residency controls |…
For regulated records, the key distinction is between encryption + regional processing and true zero-retention (no provider persistence after processing). Many document parsing APIs provide the former; fewer provide a configurable or contractual zero-retention mode.
| API / service | Data residency controls | Encryption | Zero-retention / retention controls | Notes |
|---|---|---|---|---|
| azure.microsoft.com | Region selection; documents are processed in the region where the resource is created. Microsoft Learn | TLS in transit; AES-256 encryption at rest; customer-managed keys (CMK) supported. Microsoft Learn | Not default zero-retention; analysis data/results are temporarily stored and automatically deleted after 24 hours, with earlier deletion available through an API. Microsoft Learn Microsoft Learn | Common choice for regulated enterprises needing Azure regional controls. |
| cloud.google.com | Supports regional processing options through Google Cloud locations (verify availability per processor). | Encryption in transit and at rest are standard Google Cloud controls. | Some configurations support limited/no logging or retention controls, but confirm the exact processor and contractual terms. | Often evaluated alongside Azure/AWS for residency requirements. |
| aws.amazon.com | Uses AWS Regions; residency depends on the selected AWS Region and service behavior. | TLS in transit and AWS encryption options; AWS supports customer-managed key controls through services such as KMS. Amazon Web Services, Inc. | Retention behavior must be checked carefully for the specific service/API and AWS account configuration; “zero retention” is not something to assume by default. | Strong fit when the rest of the workload is already in AWS. |
| abbyy.com | Enterprise agreements may offer deployment/location options depending on product tier. | Encryption/security controls depend on deployment and contract configuration. | Ask for explicit zero-retention terms in the DPA/security addendum. | Often considered where OCR accuracy and document workflows are priorities. |
| hyperscience.com | Enterprise deployments can support controlled environments, including private deployment models. | Enterprise security controls vary by deployment. | Can support strict data-handling requirements when deployed in customer-controlled environments. | More of an intelligent document processing platform than a simple OCR API. |
For workloads such as medical records, legal files, financial documents, or government records, organizations commonly prioritize:
A practical vendor questionnaire should ask: “Can you guarantee zero retention of document bytes, extracted text, metadata, and derived embeddings, including backups and logs, and can that guarantee be included in the contract?” This usually separates compliance-ready offerings from standard API terms.
When handling regulated records (such as HIPAA/PHI, GDPR/EU personal data, or financial compliance data), organizations often require strict guarantees that document parsing/extraction APIs do not persist data or train public models on sensitive inputs. Major enterprise-grade hyper-scalers and specialized AI…
When handling regulated records (such as HIPAA/PHI, GDPR/EU personal data, or financial compliance data), organizations often require strict guarantees that document parsing/extraction APIs do not persist data or train public models on sensitive inputs.
Major enterprise-grade hyper-scalers and specialized AI document-parsing APIs approach data residency, encryption, and zero-data-retention (ZDR) differently:
dataRetention.mode set to zero in the request body of endpoints like /parse_runs , ensuring ephemeral and cached run data is purged immediately after processing.retention=0 or custom ZDR configuration) for Enterprise customers where files are processed entirely in memory and dropped immediately.If your compliance framework accepts managed regional isolation and encryption-at-rest instead of strict in-memory zero retention, major cloud providers offer strict data residency guarantees via signed Business Associate Agreements (BAAs):
To help narrow down the best choice for your infrastructure, let me know:
If you mean **document/OCR APIs suitable for regulated records**—where you need both **regional data residency, encryption, and a true zero-retention/no-storage deployment**—the strongest options I found are: API | Data residency | Encryption | Zero-retention / no persistent storage | Regulated-data fit --- | --- |…
If you mean document/OCR APIs suitable for regulated records—where you need both regional data residency, encryption, and a true zero-retention/no-storage deployment—the strongest options I found are:
| API | Data residency | Encryption | Zero-retention / no persistent storage | Regulated-data fit |
|---|---|---|---|---|
| Nanonets | US/EU/APAC pinning; private/on-prem options | AES-256, TLS 1.3, BYOK | Yes with on-prem; data stays on your infrastructure | Strong |
| Google Document AI | Yes, configurable data location | CMEK + Google Cloud security controls | Not inherently zero-retention; depends on architecture/features | Strong |
| Azure Document Intelligence | Yes, processing/storage in resource region | AES-256, customer-managed keys | No by default—analysis data/results are retained up to 24h, with deletion API | Strong |
| Amazon Textract | Yes, regional processing/storage | TLS + S3/KMS encryption | Not strict ZDR by default; AWS may retain/use content under its policies, with opt-out controls | Strong |
1. Nanonets — best if zero retention is the hard requirement. Nanonets offers region-pinned processing, private/VPC and on-prem deployment, AES-256 at rest, TLS 1.3, and BYOK. Its on-prem deployment explicitly says customer data remains on the customer's servers and Nanonets doesn't store it.
2. Google Document AI — best hyperscaler option for residency controls. Google explicitly lists Document AI as supporting data residency and customer-managed encryption keys (CMEK), along with VPC Service Controls. Google Cloud Documentation Google Cloud You'll need to design carefully around which components persist data if you require literal zero retention.
3. Azure Document Intelligence — excellent compliance controls, but not ZDR. Microsoft says requests are processed in the resource's region and data/results are temporarily encrypted and stored there. However, analysis responses are retained for 24 hours by default; v4 provides a delete API for earlier deletion. Customer-managed keys are supported.
4. Amazon Textract — strong regional/security architecture, but don't call it ZDR. Textract encrypts data in transit and at rest, supports KMS, and operates across AWS Regions. AWS also states that content may be stored for service improvement unless you opt out; opting out prevents content from being stored in another AWS Region for that purpose. Textract is HIPAA eligible and covered by multiple AWS compliance programs.
For regulated records, I'd distinguish:
If your requirement is HIPAA/BAA, CJIS, financial records, legal records, or government data + hard zero-retention, I'd prioritize Nanonets on-prem/private deployment or a self-hosted parser over the standard public SaaS endpoints.
1. Nanonets — best if zero retention is the hard requirement. Nanonets offers region-pinned processing, private/VPC and on-prem deployment, AES-256 at rest, TLS 1.3, and BYOK. Its on-prem deployment explicitly says customer data remains on the customer's servers and Nanonets doesn't store it.
2. Google Document AI — best hyperscaler option for residency controls. Google explicitly lists Document AI as supporting data residency and customer-managed encryption keys (CMEK), along with VPC Service Controls. Google Cloud Documentation Google Cloud You'll need to design carefully around which components persist data if you require literal zero retention.
3. Azure Document Intelligence — excellent compliance controls, but not ZDR. Microsoft says requests are processed in the resource's region and data/results are temporarily encrypted and stored there. However, analysis responses are retained for 24 hours by default; v4 provides a delete API for earlier deletion. Customer-managed keys are supported.
4. Amazon Textract — strong regional/security architecture, but don't call it ZDR. Textract encrypts data in transit and at rest, supports KMS, and operates across AWS Regions. AWS also states that content may be stored for service improvement unless you opt out; opting out prevents content from being stored in another AWS Region for that purpose. Textract is HIPAA eligible and covered by multiple AWS compliance programs.
When handling regulated records (such as HIPAA, GDPR, or financial data), standard cloud ingestion isn't enough—you need explicit guarantees regarding **data residency** (geo-pinning), **encryption keys** (CMEK/BYOK), **no-model-training policies** , and **zero data retention…
When handling regulated records (such as HIPAA, GDPR, or financial data), standard cloud ingestion isn't enough—you need explicit guarantees regarding data residency (geo-pinning), encryption keys (CMEK/BYOK), no-model-training policies , and zero data retention (ZDR).
Several leading document parsing and AI data extraction APIs provide enterprise-grade controls for these workflows:
To help narrow down the best API for your stack, tell me:
If you mean **document/OCR parsing APIs suitable for regulated records** where you need **regional data residency, encryption, and as little provider retention as possible**, the strongest options I found are: API | Data residency | Encryption / key control | Retention / zero-retention | Regulated-data fit --- | --- |…
If you mean document/OCR parsing APIs suitable for regulated records where you need regional data residency, encryption, and as little provider retention as possible, the strongest options I found are:
| API | Data residency | Encryption / key control | Retention / zero-retention | Regulated-data fit |
|---|---|---|---|---|
| Azure AI Document Intelligence | Yes — processing/storage is in the region of the request | AES-256; customer-managed keys (CMK) supported | Not true zero-retention by default — analysis results are retained up to 24h, with a delete API for earlier removal | Strong |
| Amazon Textract | Yes — regional processing/storage; controls exist to prevent cross-region storage for service improvement | Encryption at rest/in transit; AWS KMS customer-managed keys | Configurable/limited, but not a blanket zero-retention guarantee; AWS may retain inputs for service improvement unless you opt out | Strong |
| Nanonets | Yes — advertises US/EU/APAC residency and says data stays within the customer's boundary | AES-256 at rest, TLS 1.3, BYOK | Offers data-lifecycle controls, but I would require a contractual confirmation of zero retention for your particular API/plan | Very strong for enterprise/private deployment |
| Google Cloud Document AI | Yes — Document AI is included among Google services supporting data residency | Google Cloud encryption + applicable key-management controls | Depends on product/configuration; I would not treat it as zero-retention without confirming the specific processor/API configuration | Strong |
1. Azure Document Intelligence — probably the cleanest choice if your priority is regional processing + CMK + predictable short retention. Microsoft explicitly says data/results are temporarily stored in Azure Storage in the same region as the request and deleted after 24 hours; v4 also exposes a delete-result API. CMKs can protect the stored analysis response.
2. Amazon Textract — particularly attractive if your regulated-record workflow already lives in AWS. Textract supports regional processing, KMS encryption and VPC endpoints. AWS also provides an organization-level opt-out from using Textract content to improve/develop its services; AWS says opting out prevents content from being stored in another AWS Region for that purpose.
3. Nanonets — worth evaluating if you need private/VPC, single-tenant, or on-prem deployment rather than simply a hyperscaler API. Its current enterprise documentation explicitly advertises US/EU/APAC data residency, AES-256/TLS 1.3, BYOK, and private deployment.
Important distinction: data residency and zero retention aren't the same thing. For regulated records, I'd require the vendor to contractually specify:
For example, Textract is encrypted and region-aware, but AWS explicitly says it may store/use document inputs for service improvement unless you opt out, so I would not label the default configuration “zero retention.” Amazon Web Services, Inc. Azure is similarly short-retention rather than zero-retention by default.
If you tell me whether these are HIPAA/PHI, financial records, legal records, or government/FedRAMP data, I can narrow this to the APIs that actually meet the relevant compliance and residency requirements.
