Ember AI uses optical character recognition and natural language processing to read invoices, purchase orders, receipts, bank statements, and contracts in any format including PDF, scanned images, and email attachments. The system automatically identifies and extracts key fields such as vendor names, invoice numbers, line items, amounts, tax details, and payment terms, converting unstructured documents into structured data that flows directly into your accounting workflows.
Finance teams spend countless hours manually keying data from documents into accounting systems, a process that is both time-consuming and error-prone. Document intelligence removes this burden by automatically populating invoice records, matching purchase orders, and pre-filling journal entries with extracted data. Confidence scores accompany every extraction, allowing your team to focus review efforts on items that need human judgment while trusting the system to handle routine processing.
By digitizing and structuring document data at the point of receipt, Campfire accelerates invoice processing cycles, reduces approval bottlenecks, and ensures that every transaction is backed by searchable, linked source documentation. Auditors can trace any ledger entry back to its original supporting document in seconds, and finance managers gain complete visibility into the document pipeline from receipt through posting.
Why Campfire Stands Out
