FormX.ai

Automate data extraction from invoices, receipts, and IDs using AI-powered OCR and custom models to streamline workflows for finance, HR, and operations teams.

Paid document extraction

Starting at

$0.30/page

About FormX.ai

FormX.ai is an Intelligent Document Processing (IDP) platform designed to automate the extraction of structured data from various physical and digital documents. It utilizes a combination of traditional OCR and advanced Large Language Models (LLMs) to transform unstructured documents—like receipts, bank statements, and business certificates—into machine-readable formats like JSON, CSV, or XML. By replacing manual data entry, the tool helps businesses reduce human error and accelerate processing times across multiple departments. The system is designed to handle a wide range of formats, including PDF files, images, and mobile scans. The platform offers both pre-trained extractors for common document types and a custom builder for unique business requirements. Users can define specific data fields, upload samples, and utilize "Smart Learning" to improve accuracy over time through real-world feedback. Unlike generic LLM solutions, FormX incorporates guardrails to prevent hallucinations and allows users to switch between different vision and LLM models depending on their specific needs for latency and precision. It also includes image quality checks and classification tools to ensure only valid data enters the pipeline. This makes it a robust solution for developers who need more control than a simple chatbot interface provides. FormX is built for a wide range of industries, including finance, retail, logistics, and human resources. Accounting teams can use it for automated invoice processing, while HR departments might leverage it for verifying identity documents or processing employee applications. Developers and technical teams benefit from its robust API and mobile SDK, which allow for deep integration into existing CRMs or ERP systems. It is particularly suitable for organizations that handle high volumes of paperwork and require enterprise-grade security, as evidenced by its ISO 27001 and SoC 2 Type II compliance. The tool is flexible enough to handle everything from one-off conversions to thousands of documents per month. What sets FormX apart is its hybrid approach to AI. It bridges the gap between raw OCR and sophisticated LLMs by offering optimized prompt engineering and input preprocessing to maximize accuracy. The platform provides a transparent "Accuracy Center" for managing datasets and allows users to fine-tune models with their own production data. Additionally, its flexible pricing—ranging from a pay-as-you-go model for low-volume users to a private cloud deployment for large enterprises—makes it accessible for both startups and established corporations seeking a reliable, secure, and scalable data extraction solution.

FormX.ai pros & cons

Pros

ISO 27001 and SoC 2 Type II certified for enterprise-grade security compliance.
Supports hybrid model usage, allowing users to switch between vision and LLM models for better precision.
Provides pre-trained models for common documents like invoices, receipts, and ID cards.
API calls are encrypted via HTTPS and documents are processed in-memory for privacy.
Offers a flexible pay-as-you-go pricing tier with no minimum commitment.

Cons

Advanced security and data features like PII detection are only available in the Enterprise plan.
Typical latency of 4-8 seconds may be slow for applications requiring instantaneous feedback.
Accuracy rates are significantly affected by image quality factors like blur or poor lighting.

FormX.ai use cases

Accounts payable clerks can automate the extraction of invoice numbers and line items for faster ERP data entry.
HR managers can use the ID card and application extractors to automate the verification of employee documentation.
Retail operations teams can process high volumes of customer receipts for automated loyalty program rewards or expense tracking.
Software developers can integrate the mobile SDK to allow users to scan and submit documents directly through a smartphone application.
Legal and compliance teams can extract data from bank statements and contracts to speed up audit processes.

FormX.ai features

document classification
ai-powered ocr
smart learning from feedback
image quality checks
llm-based extraction guardrails
api and mobile sdk
custom model builder
pre-trained extractors

FormX.ai pricing

Is FormX.ai free? No, FormX.ai doesn't offer a free plan; pricing starts at $0.30 / page.

Pay-as-you-go

$0.30 / page

First 100 pages for free trial
No minimum commitment
Ideal for one-off processing
Web portal access
API access

Starter

$299 / month/extractor

3,000 pages per month included
$0.1 per page after limit
Unlimited Smart Learning Samples
Accuracy Center Access
Community Forum Support

Enterprise

Price varies

Custom SLA
Dedicated Account Manager
Private Cloud Deployment
Fraud & AI Images Detection
Split & Classify Pages
Advanced Table Extraction
PII Detection
eKYC
Mobile SDKs

FormX.ai FAQs

What does the 100 free pages trial include?

All extractions performed via the web portal or through API calls count as one request, and the first 100 requests are free for users to test the platform's accuracy and speed.

Does FormX store or use my uploaded documents?

Documents uploaded via API are processed in-memory and disposed of immediately, while master documents for custom training are saved but never used for global model optimization without user request.

What is the typical accuracy for receipt extraction?

Accuracy for clear images with good lighting typically exceeds 90% for common fields like date and amount, though general accuracy across all fields is around 70%.

What is the typical processing latency?

Most documents are processed within 4 to 8 seconds, excluding the time required to upload the image file, which depends on network speed and file size.

Can FormX handle custom or complex document types?

Yes, users can use the Custom Builder to handle intricate documents by defining specific fields and providing samples to teach the AI which data points to extract.

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