AlgoDocs

AlgoDocs tackles one of the most stubborn sources of manual work in back-office operations: getting clean, usable data out of documents that arrive as PDFs, scans, photos or handwritten forms. Instead of typing field by field into an ERP or accounting system, teams upload or automatically ingest files, and the platform classifies them, applies the right extraction model and returns structured output. Supported inputs include system-generated PDFs, scanned images such as JPG, PNG and TIFF, MS Word and Excel files, email attachments and files pulled from drive folders like Dropbox or SharePoint. Documents can be long - the vendor advertises handling of 1000+ page files.

Extraction goes well beyond simple key-value pairs. AlgoDocs can detect selection marks and signatures, pull line items out of financial documents, merge fields or tables from different pages, and convert extracted fields into tabular data. A dedicated handwriting recognizer is offered for forms filled in by hand. Post-extraction formatting tools let teams merge, split, rename or reorder columns, apply arithmetic to table fields and reshape output before it is exported as CSV, Excel, JSON or XML into downstream systems.

For teams that need process, not just parsing, AlgoDocs provides workflows that chain ingestion, classification, extraction and human validation together. Every manual correction is fed back to improve the models, and the platform is offered as a white-label option for software vendors who want document AI inside their own product. Security posture is a selling point: data is described as SSL-encrypted and hosted on Microsoft Azure and Google Cloud, with ISO 27001, GDPR and HIPAA compliance claimed.