Amazon Textract AnalyzeExpense vs Unstract
Amazon Textract AnalyzeExpense
aws.amazon.comUnstract
unstract.comSide by side
| Figure | Amazon Textract AnalyzeExpense | Unstract |
|---|---|---|
| Price from | $0.01/mo | $1/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 17 |
| Spec score · Intelligent Document Processing Software | 9.2 (#1) | 8.6 (#5) |
| Spec score · AI Data Extraction Tools | 9.2 (#1) | 8.7 (#2) |
| Spec score · AI PDF Tools | 9.3 (#2) | 8.6 (#7) |
| Spec score · AI Document Processing Software | 9.2 (#2) | 8.6 (#7) |
| Integrations | AWS lists robotic-process-automation partners Blue Prism, Ripcord and UiPath, plus service and software partners including Accenture, Deloitte, Box and PwC. | Listed connectors include S3, Google Drive, Dropbox, Box, Snowflake, BigQuery, PostgreSQL, SQL Server, QuickBooks, Xero, SAP, NetSuite, Salesforce, HubSpot, Jira, Asana, ClickUp and Linear. |
| Purpose | AnalyzeExpense processes invoices and receipts to extract financially related text and data. | Unstract is a document processing platform that extracts structured data from unstructured documents and automates document workflows. |
| Rating on G2 | 4.3 out of 5 from 27 reviews. | 4.5 out of 5 from 122 reviews |
| Rating on GetApp | 0.0 out of 5 from 0 reviews. | 0 out of 5 from 0 reviews |
| What it does | Amazon Textract is a managed machine-learning service that extracts printed text, handwriting, forms, tables and structured data from scanned documents. | Unstract uses large language models to convert PDFs, images and scans into structured JSON through prompts, APIs or ETL pipelines. |
Plans
Amazon Textract AnalyzeExpense
- AWS Free TierFree
- AWS Free Tier — Analyze ExpenseFree
- Analyze Expense API$0.01 a month
- Analyze Expense API — first 1 million pages$0.01 a month
- Analyze Expense API — over 1 million pages$0.01 a month
Unstract
- Open SourceFree
- LLMWhisperer Native Text$1 a month
- LLMWhisperer Low Cost$5 a month
- LLMWhisperer High Quality$10 a month
- Document Studio Starter annual$416 a month
- Starter (annual)$416 a month
- Document Studio Starter monthly$499 a month
- Starter (monthly)$499 a month
- Document Studio Growth annual$1,874 a month
- Growth (annual)$1,874 a month
In their own words
Amazon Textract AnalyzeExpense
Amazon Textract AnalyzeExpense extracts financial text and data from invoices and receipts through an API or web service. Results can include grouped line items and summary fields such as purchased items, prices, receipt headers, and vendor names. The API can normalize field names and column headers to help downstream applications compare documents. It can also identify vendors from logos and extract items, quantities, and prices when those details have no labels or column headers. Supply documents as image bytes or an Amazon S3 object; AWS advises PDF, JPG, or PNG files, and invoice and receipt processing is English only. AnalyzeExpense processes synchronously. Asynchronous invoice and receipt analysis uses StartExpenseAnalysis and GetExpenseAnalysis. The listed rate is $0.01 per page for the first 1 million pages per month in US West (Oregon), then $0.008 per page; custom high-volume pricing is available. New AWS customers can use the Free Tier for three months, up to 100 pages per month. AWS says inputs may be used to improve Textract and related AI technologies, with an Organizations opt-out policy.
Unstract
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.