Amazon Textract vs LandingAI Agentic Document Extraction

Amazon Textract

IAM policies limit a credential to single operations, CloudTrail logs every call, and page prices start at $1.50 per 1,000 in US East. Multipage files need S3 and an asynchronous job. Text detection covers six languages. Under the AWS Service Terms AWS may store and use documents to improve the service unless an AI services opt-out policy is set.

LandingAI Agentic Document Extraction

Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.

Amazon Textract

1. Sign with SigV4 for service textract at textract.<region>.amazonaws.com, or call aws textract detect-document-text. The AWS CLI can't send image bytes, so reference an S3 object
2. Use StartDocumentTextDetection or StartDocumentAnalysis for any PDF or TIFF of more than one page, pass a ClientRequestToken, then page Get calls with NextToken (1,000 blocks at most each)
3. Fetch results within 7 days of starting a job, or set OutputConfig to write them to your own S3 bucket
4. Request only the FeatureTypes you need. Forms cost $50 per 1,000 pages against $15 for tables or queries in US East
5. Back off on ProvisionedThroughputExceededException (HTTP 400) and ThrottlingException (HTTP 500). Neither carries Retry-After, and default quotas are 1 call a second in most Regions
6. Set the AI services opt-out policy on the AWS organisation before sending customer documents

LandingAI Agentic Document Extraction

1. Send Authorization: Bearer <key> to https://api.ade.landing.ai/v2/parse. EU keys work only on https://api.ade.eu-west-1.landing.ai
2. Submit large files to /v2/parse/jobs. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit
3. Leave jobs on the standard tier unless speed matters. It consumes half the credits of priority
4. Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits
5. On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier