Organizations across finance, legal, recruitment, and enterprise operations process thousands of unstructured documents every day—from multi-page invoices and master service agreements to resumes, balance sheets, and compliance statements. Traditional OCR tools fail because they are hardcoded for rigid single-domain templates that shatter when presented with varied document types. Meanwhile, pure LLM wrappers produce hallucinated JSON blobs without linking figures back to spatial page coordinates, leaving human auditors with no way to verify or correct extracted data.
AetherDoc Studio unifies autonomous multi-model extraction with an interactive bounding-box verification studio. Reviewers can click any field to jump straight to its exact position on the multi-page canvas, draw custom bounding boxes with keyboard shortcuts (D), delete unwanted regions (Del), adjust confidence thresholds, and commit audit sign-offs with full cryptographic provenance.
Universal Object Storage Connectors
Built-in native connectors for Cloudflare R2, AWS S3, Azure Blob Storage, Google Cloud Storage, and custom S3 instances via AWS Signature V4 and Azure SAS. Documents sync bi-directionally with Supabase PostgreSQL without vendor lock-in.
Dual AI & Offline Local Engine
Features Bring-Your-Own-Key (BYOK) multi-LLM routing (Gemini 2.5 Flash, GPT-4o, Claude 3.5, Groq, OpenRouter) paired with an offline coordinate-sorted Mozilla PDF.js (unpdf) and native DOCX XML parser that works 100% key-free.