Unlock insights from audio, video, images, documents, and other complex files with a unified AI‑powered extraction pipeline. We blend cutting‑edge OCR (PyTesseract, Google Vision API, Azure Cognitive Services) and multimodal models (Whisper, GPT‑4o) with intelligent post‑OCR NLP to convert any content into indexed, queryable data.
Our service orchestrates OCR engines and cloud AI models to extract, summarize, and structure content from virtually any file type. Post‑OCR NLP enhances accuracy, resolves context, and validates entities. The solution scales from one‑off data mining jobs to continuous, automated pipelines, leveraging Whisper, GPT‑4o, HuggingFace models, and Google/Azure vision APIs.
Key Features
- ✔ Audio and video transcription using Whisper/OpenAI with optional sentiment & summarization
- ✔ YouTube/Instagram reel download and data extraction (comments, captions, metadata)
- ✔ Image‑to‑text processing via GPT‑4o, Azure Vision, Google Vision for rich entity extraction
- ✔ Form, table, and semi‑structured data capture from PDFs, scans, ID cards, and handwritten notes
- ✔ Multi‑language OCR with high‑accuracy recognition, layout analysis, and NLP‑based context correction
- ✔ Automated pipeline exporting structured data to dashboards, CRMs, analytics, cloud storage, and PDFs
- ✔ Database integration for seamless data ingestion and long‑term archiving
Benefits
- 🎯 Harvest value from multimedia and next‑generation data sources
- 🎯 Digitize and unlock data trapped in legacy paper or unstructured files
- 🎯 Enable search, chat, and Q&A over your private audio, video, and document content
- 🎯 Reduce manual entry costs, accelerate onboarding, and ensure compliance with automated data capture
- 🎯 Boost BI initiatives by ingesting historically hard‑to‑analyze unstructured data
Real-World Use Cases
- Combined YouTube/Instagram video transcription with comments and PDF reporting
- Bulk invoice, receipt, and ID document data extraction for finance or KYC
- Google & Zomato reviews scraping with user sentiment analytics
- Meeting audio transcription with action‑item extraction and knowledge‑base population
- Invoice and receipt processing for accounting/ERP automation
- Handwritten form extraction for insurance, health, or finance sectors
