ArtiVerse
AI-Powered Artist Knowledge Extraction System
What We Built
ArtiVerse is an advanced AI-driven system designed to extract, organize, and verify artist information from diverse document sources. Using Gemini AI and OCR, it performs intelligent document parsing, structured field mapping, and accuracy validation to streamline artist knowledge preservation with 99.9% accuracy and high scalability.
The Problem We Solved
Cultural institutions and music archives hold millions of documents - scanned letters, old brochures, handwritten notes, and digital files - containing invaluable artist data. Extracting structured information from these heterogeneous sources manually was prohibitively expensive, slow, and error-prone.
Key Pain Points
- Millions of unstructured documents in varied formats (PDFs, scans, handwritten notes)
- Manual extraction taking 30+ minutes per document
- OCR limitations with historical and multilingual documents
- No standardized schema for artist information across institutions
- High error rates in manual data transcription (12%+)
Business Impact
- Backlogs of thousands of unprocessed documents
- Incomplete artist profiles affecting research quality
- Limited scalability with manual workflows
- Budgetary constraints preventing large-scale digitization
How We Solved It
We engineered an AI-driven extraction pipeline that combines Google Gemini's multimodal capabilities with custom OCR models to read, parse, and structure artist information from any document type - auto-mapping fields, resolving conflicts, and flagging uncertain entries for human review.
Multimodal AI Parsing
Deployed Gemini AI for intelligent document understanding across text, images, and handwritten content with contextual field extraction.
Custom OCR Pipeline
Built specialized OCR models trained on historical documents, multilingual scripts, and degraded scans to maximize extraction accuracy.
Structured Field Mapping
Designed an auto-mapping system that normalizes extracted data into a standardized artist profile schema with conflict resolution.
What It Does
Core capabilities that make this platform powerful and unique.
Intelligent Document Parsing
Reads and structures data from PDFs, scanned images, handwritten notes, and varied document formats.
Gemini AI Integration
Leverages Google Gemini for multimodal understanding and contextual field extraction.
99.9% Accuracy
Advanced validation pipeline ensures near-perfect accuracy on all extracted data fields.
Structured Field Mapping
Auto-maps extracted data into standardized artist profiles with intelligent normalization.
Real-time Processing
Processes documents in under 3 seconds with support for batch uploads and concurrent processing.
Human-in-the-Loop
Flags uncertain extractions for expert review, ensuring quality without sacrificing speed.
The Process
A step-by-step look at how the platform operates from input to output.
Document Upload
Upload documents in any format - PDFs, scanned images, photos of handwritten notes, or digital text files.
AI Extraction
Gemini AI and custom OCR models parse the document, identifying and extracting structured artist information.
Smart Mapping
Extracted data is auto-mapped to standardized fields, resolving conflicts and normalizing formats.
Verified Output
Results are validated, flagged if uncertain, and stored as structured, searchable artist profiles.
Tech Stack
The full technology stack powering this project, grouped by layer.
Frontend
Backend
Database
Cloud & DevOps
Integrations
Connected Platforms
External services and APIs powering this solution.
Google Gemini
Multimodal AI for document understanding
Tesseract OCR
Open-source OCR for text extraction
Google Cloud
Cloud infrastructure and AI services
At a Glance
Impact & Results
Measurable outcomes that demonstrate the real-world impact of this project.
Near-perfect accuracy on structured field extraction from diverse document types.
Average document processing time, down from 30+ minutes of manual work.
Successfully processed and structured artist documents from the archive.
Handles thousands of concurrent users and batch uploads simultaneously.
The People Behind It
Darshan Vasani
Project Lead & Backend Architect
AI/ML Team
AI Pipeline & OCR Development
Frontend Team
Interface Design & Development
Saptak Domain Experts
Data Validation & QA
“ArtiVerse has revolutionized our document processing workflow. What used to take our team weeks can now be accomplished in hours with incredible accuracy. This is exactly what cultural preservation needs.”
See It in Action
ArtiVerse - Document Extraction Interface