You start by uploading a handful of example documents-invoice, contract, or a messy CSV-and the auto-ML engine does the heavy lifting: it trains a model, tags fields, and even suggests a workflow. The platform then lets you stitch together extraction, transformation, and routing steps, and you can view a real-time dashboard that shows throughput, accuracy, and error rates.
When I tested it on a legacy invoice batch, accuracy jumped from 65% to 92% in a single tweak. Who's it for? If you're a business analyst, ops manager, or an RPA engineer juggling document-heavy processes, you'll see immediate value. Finance teams love the invoice-to-ERP connector, legal folks use the contract-review template, and compliance squads appreciate the audit trail.
The multilingual engine covers over 100 languages, so global teams can keep the same workflow across regions. What sets DeepOpinion apart? The no-code angle is the biggest win-no dev bootcamp required. Pre-built templates mean you can spin up a solution in minutes, not weeks. The API-first design lets you plug it into existing RPA stacks or custom apps without wrestling with SDKs.
And the autoscaling feature keeps performance steady even when a sudden spike of documents hits the queue. Bottom line: DeepOpinion turns a tedious, manual document loop into a smooth, data-driven pipeline. If you're tired of spreadsheets and code, give it a spin. It's free to try, and you'll see how fast you can go from idea to production.
