Reconcile extracted fields
Connect
SPIRITT
Nanonets OCRNanonets OCR
Turn extraction into verified records
Build Nanonets OCR document workflows that choose a ready model, extract supported fields, and carry page-level evidence into usable business records. SPIRITT brings the OCR models, document URLs, prediction files, and page results into one working operation, coordinates the next steps across your connected tools, and keeps the outcome in view.
What you can do with Nanonets OCR.
The model fits the document
Inspect available OCR models, readiness, extraction fields, and table configuration before choosing the model for a document workflow.
Extraction keeps page-level evidence
Extract model-defined fields and tables from a publicly reachable document URL, then retrieve file or page results with durable identifiers.
Empty output becomes an exception
Reconcile prediction summaries and full results against expected fields, keeping successful pages with no extracted fields visible for follow-up rather than fabricating values.
Works with your other apps.
Get started in three steps.
01
Open your workspace
Create a SPIRITT workspace for your Nanonets OCR operation. Describe the outcome, the records involved, and what finished work should look like.
02
Connect Nanonets OCR
Connect Nanonets OCR with access to the OCR models, document URLs, prediction files, and page results needed for the mission. Connect companion apps for the handoffs you want SPIRITT to run.
03
Delegate a mission
Ask SPIRITT to build Nanonets OCR document workflows that choose a ready model, extract supported fields, and carry page-level evidence into usable business records. Set the approval points and cadence, then let it carry the work through.
Hand over a mission.
Choose a mission. Make it yours.
Put Nanonets OCR to work.
Turn extraction into verified records
Questions
Nanonets OCR, with SPIRITT.
01Can SPIRITT select the appropriate OCR model?+
Inspect available OCR models, readiness, extraction fields, and table configuration before choosing the model for a document workflow.
02Can it process documents and retrieve their results?+
Extract model-defined fields and tables from a publicly reachable document URL, then retrieve file or page results with durable identifiers.
03How are missing fields and empty pages handled?+
Reconcile prediction summaries and full results against expected fields, keeping successful pages with no extracted fields visible for follow-up rather than fabricating values.
04Does this train models or accept any private document link?+
These workflows use existing OCR models and publicly reachable document URLs. SPIRITT checks model readiness and configuration; it does not train a new model or assume private viewer links are fetchable. Documents should be supplied through an approved intake path appropriate to their sensitivity.
05How do I set up Nanonets OCR with SPIRITT?+
Open a SPIRITT workspace, connect Nanonets OCR, and describe the mission. Choose the OCR models, document URLs, prediction files, and page results it should use and the actions it can take. Add the companion connections for messages, records, or deliverables outside Nanonets OCR.
06How does SPIRITT follow through on Nanonets OCR work?+
File and page identifiers connect extraction to review. SPIRITT retains empty or incomplete results as explicit exceptions, requests missing evidence, and writes only the verified fields into the chosen business register.