Planet AI IDA

Tool Introduction

Planet AI IDA (Intelligent Document Analysis) is a modular software suite built to automate and optimize document processing. It captures, extracts, classifies, and interprets content from both structured and unstructured documents. Using proprietary deep learning and patented technology, Planet AI IDA handles poor-quality scans, handwritten notes, and historical scripts with high accuracy. The tool helps reduce manual effort, boost automation speed, and meet strict privacy requirements in compliance-sensitive environments.

Demo Available?

Planet AI IDA offers a free OCR trial for up to 100 pages after signup, with no credit card required.

Tool's Accuracy

Planet AI IDA 5.2 delivers high OCR and ICR accuracy, reducing manual correction in complex documents. The platform uses patented technology and LLM-based extraction to improve unstructured data processing.

Aggregate Rating

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Detailed Overview

End-to-end document analysis with advanced OCR/ICR, smart extraction, few-shot learning classification, and deep search capabilities.

What Planet AI IDA Does

Planet AI IDA automates full document workflows: it captures data using high-accuracy OCR/ICR for printed or handwritten text. It classifies documents by analyzing text and visual features with few-shot learning. The platform extracts data from structured to unstructured content using zonal logic or large language models. It summarizes unstructured input and answers questions directly from documents. Deep search lets users find archived data across entire collections without custom indexing.

Who Planet AI IDA is for

Planet AI IDA fits teams needing accurate document automation at scale. Enterprises in finance or healthcare can process forms faster. Scanning services digitize archives efficiently. Software vendors add OCR/ICR into apps. Legal firms manage records; government agencies handle historical documents more easily.

Top Differentiators

High OCR/ICR accuracy: Over 99% for printed text; over 95% for handwriting.
Patented PerceptionMatrix: Enhances recognition on degraded or historical content.
Few-shot learning: Speeds setup without complex rules.
On-premises support: Aligns with strict privacy controls.
Extensive script support: Covers Western languages plus Arabic/Chinese (beta).
No-code training: Empowers business users via browser UI.

Founding Year

2015

Target Industry

B2B, Enterprise, Scanning Service Providers, Software Vendors, Financial Services, Insurance, Healthcare, Government, Legal, Logistics, Enterprise Content Management

Available Integrations

IDA Recognition SDK: Enables embedding of OCR, ICR, classification, and extraction into enterprise or OEM applications.
Modular APIs: Allow tailored integration of individual features like Recognition or Extraction into workflows.
On-premises and private cloud support: Provides deployment flexibility for data privacy and compliance.
LLM-based extraction (beta): Offers unstructured data analysis through a limited-release feature.
OEM integration model: Designed for technology partners to embed IDA into their solutions.

Plans & Pricing

Planet AI IDA uses a modular licensing model. Features like Recognition, Classification, Extraction, and Understanding can be licensed individually based on specific needs.

Pricing details are not publicly listed. There are no disclosed plan names, usage tiers, user limits, or billing cycles. All pricing is tailored and available only upon request through direct contact.

Features & Specs

Recognition (OCR/ICR):
- Patented PerceptionMatrix boosts accuracy
- Reads poor scans and historical handwriting
- Auto-detects languages
- Full PDF support
- JSON output format
- Barcode reading (1D/2D), redaction, table extraction included
- Pre-trained for multiple European languages
Classification:
- Learns quickly using textual and visual cues
- Few-shot setup needs minimal samples
- No rule-based scripting required
Extraction:
- Smart zones extract fields from forms
- LLM-based extraction pulls meaning from free-text pages
Understanding:
- Auto-generates summaries from long text
- Answers direct questions using document context
Search:
- Finds keywords across scanned archives
- No tagging needed due to preserved transcription layers
Deployment & Integration:
- Client-server app or SDK options available
- Supports Linux, Windows, Docker environments on-premises
- Offers gRPC API, REST wrapper, Java SDKs
Performance Metrics:
- Over 99% accuracy (machine print)
- Over 95% accuracy (handwriting)
- Over 91% automation rate out of the

Security & Compliance

On-premises deployment is supported, allowing data to remain within customer-controlled environments. For cloud or server-based setups, deployment servers are located in Germany.

Industry Use-Cases

Financial Services

Planet AI IDA automates data extraction from scanned loan applications, including handwriting, speeding up processing and reducing errors. Classification and search features streamline compliance by enabling fast document retrieval.

Healthcare

IDA converts handwritten notes and legacy forms into structured digital data, easing EHR integration. It also indexes historical archives for deep search, supporting medical research and long-term data access.

Insurance

The platform automates claims document recognition, classification, and extraction, accelerating claims resolution. It also organizes policy documents to meet regulatory needs and improve customer service workflows.

Government & Legal

IDA digitizes degraded historical records while preserving multiple transcriptions. It also extracts and summarizes content from legal documents to reduce review time during case preparation.

Logistics

IDA captures data from shipping documents and invoices automatically, improving accuracy and speed. It classifies delivery records for quick retrieval, enhancing logistics management efficiency.

Tool's Alternatives

SS&C Blue Prism

Offers AI-powered document processing with deep automation tools. Best suited for enterprises needing full process transformation using digital workers.

UiPath Platform

Known for low-code automation design and rich prebuilt connector library. Simplifies deployment but may need add-ons for advanced unstructured data tasks.

Automation Anywhere Enterprise

Supports scalable RPA and document processing in hybrid environments. Cloud-native architecture enables rapid rollout across large organizations.

Laserfiche

Combines workflow orchestration with strong content management. Well-suited for compliance-heavy use cases but may lag in handwriting recognition accuracy.

Doclime

Focuses on quick document search and AI-driven answers. Excels at retrieving information but lacks the full document processing depth of Planet AI IDA.

Frequently Asked Questions

What does Planet AI IDA do with scanned documents?
Planet AI IDA captures, classifies, and extracts data from printed or handwritten scanned documents using OCR and ICR.

How accurate is the handwriting and print recognition?
Printed text is recognized with over 99% accuracy; handwriting recognition reaches over 95%, even on degraded content.

Can Planet AI IDA handle poor scans or historical records?
Yes. Its patented PerceptionMatrix technology improves accuracy on low-quality scans and historical handwritten scripts.

What are the deployment options for Planet AI IDA?
The platform supports on-premises setups using Linux, Windows, or Docker. It also offers client-server apps and SDKs.

Which industries benefit most from using Planet AI IDA?
Finance, healthcare, insurance, legal, logistics, and government sectors use it to automate document-heavy workflows at scale.

Is there a free trial available for Planet AI IDA?
Yes. A free OCR trial covers up to 100 pages after signup without requiring a credit card.

How does the modular licensing model work?
Users license individual features like Recognition, Classification, Extraction, or Understanding based on specific workflow needs.

Does it integrate easily into existing systems?
Yes. Modular APIs, Java SDKs, gRPC API, and REST wrappers support flexible integration into enterprise or OEM applications.

Can it extract meaning from unstructured free-text documents?
Yes. It uses large language models to pull relevant data and summarize or answer questions directly from unstructured input.

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