LandingAI Agentic Document Extraction vs Unstract

LandingAI Agentic Document Extraction converts documents into structured data for downstream workflows. Its Parse function returns machine-readable output while retaining document hierarchy and layout, with citations for content blocks and table cells. Parse handles PDFs, scans, and images across languages, including files up to 1 GB. Extract shapes results to a defined schema, reconstructs tables that span pages, and links extracted values to their source locations. Page numbers, coordinates, and confidence scores help make results reviewable and flag items for human attention. The product offers a REST API and Python and TypeScript libraries, and is listed for API, web, and self-hosted use. Explore is free with 1,000 credits to start; $1 buys 100 credits. Team costs $250 a month. Enterprise pricing is custom and includes SaaS, VPC, and on-premises deployment options. Zero data retention is available on Team and Enterprise; HIPAA processing on those plans requires that setting and a signed BAA. LandingAI says it is SOC 2 Type II compliant.

Unstract is a document processing platform that extracts structured data from unstructured documents and automates document workflows. Prompt Studio uses natural-language instructions to build extraction projects that can be deployed as APIs or ETL pipelines. Agentic Prompt Studio uses multi-agent pipelines to define schemas, create extraction prompts, and validate results across documents. Unstract describes its document processing as document agnostic and says it works without prior training or templates. Human-in-the-loop workflows can route selected documents for review, approval, and validation. LLMChallenge uses two language models to challenge extracted responses; SinglePass and Summarized Extraction are described as ways to reduce token use. Integrations include Anthropic, OpenAI, and Vertex AI models, along with file systems and databases such as Azure Cloud Storage, PostgreSQL, and S3/Minio. Deployment options are managed cloud, on-premise enterprise, and open-source self-hosted editions. The cloud offering says data is encrypted in transit and at rest and is not used for training. The free Open Source plan is self-hosted and limited to one user. Starter costs $499 a month, billed monthly, with 5,000 pages monthly and a 0.10 USD per-page overage.