algodocs — AI Document Data Extraction Tool

Turkish IDP startup offering AI-powered document processing with 99%+ accuracy, freemium pricing from $23/month, and hybrid OCR-LLM architecture.

Overview

algodocs operates as an unfunded Turkish startup founded in 2018 by Cevat Sirin, competing against 3,044 IDP vendors with aggressive freemium pricing and a hybrid OCR-LLM architecture. The Izmir-based company claims 99%+ accuracy for structured data extraction and positions itself as a cost-effective alternative to enterprise solutions like Rossum, offering a free-forever plan processing 50 pages monthly versus Rossum's $18,000/year entry point.

In early 2026, algodocs demonstrated strong market validation with a 4.9/5 rating from 30 verified users on GetApp, achieving 100% positive reviews. Customer testimonials report 95% reduction in manual work, with users praising the company's hands-on approach: "They build your extractors for FREE! Having help by an expert to get you exactly what you want without have to learn or hire a random freelancer."

The platform combines advanced OCR with AI/ML models and generative AI capabilities, avoiding the cost and latency issues of pure LLM solutions while maintaining flexibility through natural language prompts for data extraction.

Technology Architecture

algodocs differentiates through its hybrid approach that merges traditional OCR technology with modern AI capabilities. The platform processes 100 invoices in under 30 minutes versus 8-10 hours manually, representing 90%+ time savings for volume processing. Unlike template-based competitors requiring predefined document layouts, algodocs offers template-free extraction with real-time processing, eliminating manual labeling requirements.

The system supports 200+ languages with document classification and multi-format export capabilities including XLS, CSV, JSON, and XML. Cloud integrations span Gmail, Google Drive, Dropbox, OneDrive, and QuickBooks Online, targeting cost-conscious businesses through accounting sector adoption.

Market Positioning

As a bootstrapped Turkish startup, algodocs faces challenges scaling against well-capitalized competitors like Box ($693M funding) and M-Files ($127M funding) but benefits from lower operational costs. The company targets SMBs underserved by enterprise solutions, with page-based pricing starting at $23/month for 300 pages significantly undercutting enterprise competitors.

Customer implementations span legal, finance, and research applications, indicating horizontal rather than vertical market penetration. David Hubbard of Hubbard Law Firm reported processing "over 10,000 pages within a short time frame for litigation," describing how "a 2 person 100 hour project was handled in less than a few hours." Emin Asadov, CEO of integration partner Novum, praised "the on-premise solution of Algodocs and its flexible extracting rules" for processing "around 5K documents per day."

Use Cases

Healthcare Records Digitization

Converting handwritten patient records, medical codes, and diagnosis reports into searchable digital formats through Intelligent Character Recognition (ICR) capabilities.

Legal Document Processing

Automated extraction of critical data from contracts and legal documents for merger reviews and legal research acceleration, with proven performance in high-volume litigation scenarios.

Banking Document Processing

Processing checks and financial instruments with ICR technology for faster fund access and reduced error rates across regulated financial workflows.

Technical Specifications

Feature	Specification
Deployment Options	Cloud, On-premise, Hybrid
Supported Languages	200+ languages including English, Spanish, French
Document Formats	PDF, JPEG, PNG, TIFF
Integrations	QuickBooks Online, Google Sheets, Zapier, Dropbox, Microsoft
Pricing	Free plan (50 pages/month), Business $175/month (3,500 pages)
Compliance	ISO27001, GDPR, HIPAA
Infrastructure	Microsoft Azure, Google Cloud