
Key outcomes for customers: Up to 80% reduction in document turnaround time Built-in AI validation with human review controls Connects with existing tools and systems Scales from 50 to 50,000 documents without reconfiguring
Docxster is an Intelligent Operations Platform — an all-in-one solution combining intelligent document processing, workflow automation, and a central file repository. It integrates with email, WhatsApp, Slack, and cloud drives to automatically find documents, extracts data using template-less AI OCR (99% accuracy, 50+ languages, 150+ vendor formats), validates data line by line and field by field, routes approvals automatically, and pushes clean data into ERPs, CRMs, and other tools — all without IT involvement or pre-built templates.
AI-Powered Document Extraction
Automated Data Validation
Customizable Workflow Templates
No-Code Workflow Builder
Automated Approvals and Routing
Automated Reporting
Human-in-the-Loop Verification
Docxster Drive
Free
Per User Per Month
$ 45
Per User Per Month
$ 69
Per User Per Month
Custom
Per User Per Month
English
French
Hindi
Spanish
German
Arabic
Russian
Dutch
Polish
Japanese
Not available.
Not available.
Not available.
Yes, the Docxster platform supports Arabic. Arabic is explicitly listed among the languages that Docxster currently supports, allowing users to upload, process, and receive insights or responses in Arabic.
The Docxster platform uses artificial intelligence (AI) extensively across its features and workflows. AI is central to Docxster’s core functionality, enabling intelligent automation for document processing and analysis. Specifically, AI is used in the following areas:
Document Data Extraction: AI automatically identifies and extracts key information from various document types, including PDFs, invoices, passports, and more, even handling layout variations, handwritten text, and multilingual formats.
Automated Validation: The platform uses AI to test extracted data against predefined parameters and rules, ensuring high accuracy and reducing manual review.
Workflow Automation: AI powers the creation and execution of no-code workflows, automating approvals, routing, and reporting across departments.
Human-in-the-Loop Verification: Docxster employs AI-driven confidence thresholds to determine when human verification is needed, combining automation with human oversight.
AI Model Selection: Users can select from a suite of advanced AI models to tailor document analysis and responses to their specific needs.
Natural Language Processing: The platform allows users to interact with documents using natural language queries, ask questions, and receive insights—all powered by AI.
OCR and Multilingual Support: AI-driven optical character recognition (OCR) converts physical and handwritten documents into searchable, analyzable text, and supports multiple languages.
Docxster utilizes a selection of advanced AI models to deliver accurate and tailored document intelligence solutions. The platform features an AI Model Selector that allows users to choose the most suitable AI model for their specific agents and tasks, providing flexibility and optimization for different use cases.
The main AI models available on Docxster include:
GPT Models: These models, such as those from OpenAI, are especially adept at handling structured data, performing complex analyses, and solving mathematical problems. GPT-4o is specifically mentioned as an available option for users.
Anthropic’s Claude: This model is highlighted for creative tasks such as writing, ideation, and storytelling, offering imaginative and engaging responses.
Google Gemini AI: Known for its fast response speed, Gemini is another model option for users who prioritize rapid processing.
Users can choose higher versions of these AI models for increasingly sophisticated and accurate results, ensuring that the platform can adapt to a wide range of document intelligence needs.
Docxster uses a mix of leading AI models—including GPT (such as GPT-4o), Anthropic Claude, and Google Gemini—enabling users to select the best tool for their specific requirements.
No.
No.
Portuguese
Chinese
Italian
Indonesian
Marathi
Punjabi
Telugu
Tamil