Document conversion, redaction, form fill, and template generation.
This Next.js frontend calls a FastAPI backend that wraps the Nutrient Python SDK. The frontend handles uploads and displays results; the backend performs the conversions, signing, and template population.
Convert Word, Excel, and PowerPoint documents to PDF format
Convert Markdown documents to PDF format
Convert PDF documents to HTML for web display
Convert PDF documents to Word and Excel formats
Apply digital signatures to PDF documents with certificates
Permanently remove sensitive content from PDF documents
Detect form fields in an unfielded PDF with the Nutrient SDK's ML detector
Programmatically fill PDF form fields with data and generate a filled PDF
Transcribe handwriting via Vision.describe() with a custom prompt — works on cursive where ICR doesn't
Extract printed text from images with Adaptive OCR — high-throughput, optimized for purely printed content
Extract structured document data from images using the Nutrient SDK's ICR engine — printed pages and hand-printed forms
Extract structured content from documents without native form fields (e.g. invoices) via VLM-enhanced ICR with Claude
Extract structured tables (rows, columns, spanning cells) from an invoice via VLM-enhanced extraction with Claude
Convert a complex document to clean Markdown for RAG and LLM ingestion pipelines
Pull labeled fields into clean values — native key-value regions plus schema-driven extraction with a custom prompt
Generate WCAG-style accessibility descriptions for images at standard or detailed level
Generate PDF documents from Word templates populated with JSON data