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Overview
Skwiz is an AI document processing platform for natural language extraction, templates, and PDF splitting. Users value quick setup and EU data hosting; however, complex tables may need validation. Still, API access and document classification help teams standardize capture across varied documents.
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Starting Price
Custom
Skwiz Specifications
Self-Service Dashboards
Visual Recognition
Automation
Entity Extraction With Text Analytics
What Is Skwiz?
Skwiz is an intelligent document processing platform for teams that need fast, accurate data capture from PDFs and images. Users define fields in plain language, apply templates, and let the system classify and split large PDFs. Table extraction and validation streamline review, while EU-region storage supports compliance needs. An API enables embedding extraction in existing systems.
Skwiz Pricing
The vendor offers Skwiz price options suited to different volumes.
- Free trial: 200 pages over 3 months
- Personalized plan: Custom pricing
Disclaimer: The pricing is subject to change.
Skwiz Integrations
Who Is Skwiz For?
Skwiz is ideal for a wide range of industries and sectors, including:
- Insurance
- Construction
- Engineering
- Accounting
- HR
- Healthcare
Is Skwiz Right For You?
Consider Skwiz if you need configurable extraction without long training cycles, a validation UI for tables, and automated PDF splitting linked to document classification. Fine-tuning options and an API support custom deployments, while EU data residency helps with compliance. It suits teams modernizing intake across invoices, IDs, and claims.
Still doubtful if Skwiz is the right fit for you? Connect with our customer support staff at (661) 384-7070 for further guidance.
Skwiz Features
Users describe the data they want in plain language, then run extraction across PDFs and images. The approach avoids long training cycles and reduces setup from weeks to minutes, so teams move quickly from pilot to production without labeling hundreds of examples.
A library of templates helps teams start with common document types, then customize fields and logic in multiple languages. This supports shared configurations across regions and reduces duplicate work when rolling out similar extraction projects globally.
Incoming files are automatically classified, and large PDFs can be split into individual documents with a single toggle. Linked classification after splitting keeps processing aligned to the right template, which reduces manual sorting and speeds batch intake.
Extraction supports tabular data and presents results for quick review. Analysts can verify totals and line items, resolve edge cases, and export clean outputs for downstream systems, which cuts reconciliation time in finance and claims workflows.
An API connects Skwiz to existing applications, while recent updates add fine-tuning of generative AI models for specific document types. This combination lets organizations automate ingestion and continuously improve Skwiz features on their own data.
