αExtractorv1.0.3

Researchers can upload figures from papers to automatically extract molecular structures and names, streamlining data entry for literature reviews and meta-analyses. This reduces manual effort and errors in capturing chemical information from published images.

Convert hand-drawn or scanned chemical diagrams from lab notebooks or archives into machine-readable molecular formats. This enables digital storage, searching, and further processing of historical chemical data for patent analysis and compound libraries.

Extract molecule structures from slides, posters, or screenshots used in conferences or meetings. This helps drug discovery teams quickly capture and integrate chemical information shared in visual formats into their databases.

Use extracted structures from compound images to cross-check or populate chemical databases, ensuring data completeness and accuracy. This is valuable for building training datasets for AI models or updating commercial compound catalogs.

Extract molecules from regulatory documents or marketing materials to compile required chemical data for submissions. This speeds up the preparation of dossiers and ensures consistent representation of molecular entities across documents.

Charge users per API call or per image processed, with potential tiered pricing based on volume. Revenue scales with usage, making it suitable for small labs to large enterprises.

Offer monthly or annual subscription plans with different limits on number of images processed and access to advanced features like batch processing or higher priority. This provides predictable recurring revenue.

License the extraction API to other software platforms (e.g., ELN, LIMS, database vendors) who embed it in their products. Revenue comes from licensing fees or revenue sharing.