Custom field templates
Define exactly which fields you want extracted, either in the web interface or through the API, so the output matches the document structure you care about.
Extracta LABS
RivendicaExtracta LABS is an AI data extraction tool for PDFs, scans, images and text files, with structured output via web app or API.
Overview
Extracta LABS is an AI data extraction tool for documents and images. It is designed to turn unstructured files into structured data by letting users define the fields they want, upload documents, and receive extracted results from the platform or API.
The site positions the product for tasks such as invoice processing, resume parsing, legal document handling, and receipt data capture. It supports PDFs, images, scans, digital documents, and text files, and it emphasizes a no-training workflow for starting extraction quickly.
Core capabilities
Multi-format document support
Upload PDFs, images, scans, digital documents, or text files and extract data from each in a single workflow.
No-training workflow
Run extraction without model training or lengthy setup, using the site’s describe-upload-extract process.
API-based automation
Use the API pages to connect extraction into software workflows for invoices and resumes, with the site describing easy integration into existing systems.
Structured output
Receive extracted information in a structured format after the AI scans the source file and pulls the requested data.
Document-specific field extraction
The invoice page states support for invoice fields such as invoice number, vendor name, customer name, dates, amounts, tax rate, discounts, currency, and line-item details; the resume page lists fields such as name, education, LinkedIn profile, work experience, skills, certifications, languages, achievements, email, phone number, and location.
Common use cases
Invoice processing
Automate invoice capture by extracting fields such as invoice number, vendor, customer, dates, amounts, tax, discounts, currency, and line items for downstream accounting or AP workflows.
Resume screening
Parse resumes into structured candidate profiles with fields like name, education, work experience, skills, certifications, languages, contact details, and location for recruiting workflows.
Legal document review
Pull key terms, parties, and dates from legal documents to reduce manual review and help teams organize contract or compliance data.
Receipt processing
Extract expense data from receipts, including from scanned or image-based files, to support tracking, reporting, and reconciliation.
Custom document workflows
Create a custom extraction template for specialized forms or unconventional layouts when a fixed document parser is not a good fit.
Pros and Cons
Pros
- Supports a broad set of file types, including PDFs, images, scans, digital documents, and text files.
- Lets users define their own extraction fields instead of relying only on fixed templates.
- Offers API-based workflows for embedding extraction into existing software processes.
- States that data is not used for training and that communication is fully encrypted.
- Provides public examples for invoices and resumes, which makes the product’s output fields easy to understand before trying it.
Cons
- The public pricing page is verification-gated, so detailed plan names, limits, and prices are not visible from the supplied source.
- The source does not show a published list of third-party integrations beyond general API integration and mentions of HR or accounting systems.
- The site’s most specific workflow examples are centered on invoices and resumes, so support for other document types is described more generally.
FAQ
How does Extracta LABS work?
Extracta LABS lets you upload a document, choose the fields you want, and extract the requested information into structured output. The homepage and product pages describe this workflow as available through both the web interface and API.
Do I need to train a model before using it?
No. The site says you can define the fields you need from the web interface or through the API, then upload documents and extract the data without complex setup or model training.
What kinds of files can it process?
The source pages describe support for PDFs, images, scans, digital documents, and text files. The product pages for invoices and resumes also mention that you can process files in different formats through the same API workflow.
What pricing information is publicly available?
The invoice page says the pricing model is pay-per-request and mentions a free trial of 50 pages. The resume page says pricing is pay-per-page and also mentions a complimentary 50-page trial, so the public site indicates usage-based pricing rather than a fixed public subscription table.
How is data handled and protected?
The site emphasizes GDPR compliance, fully encrypted communication, and a policy that data is not used for training. It also states that users can request deletion of their data.
Quick Facts
- Category
- AI data extraction
- Platform
- Web app and API
- Primary use cases
- Invoice processing, resume parsing, receipts, legal documents
- Supported inputs
- PDFs, images, scans, digital documents, text files
- Pricing shape
- Usage-based; public pages mention pay-per-request and pay-per-page with a 50-page trial
- Source domain
- extracta.ai