Multi-language text recognition
Convert scanned text in supported languages into searchable information for staff and downstream systems.
Products
Qari OCR
Read the fields that matter to the next task.
Qari OCR turns scanned information into text that staff can use and check. A tilted page or faded receipt should not lose its connection to the source image. Choose the fields your process needs, review uncertain readings and define the correction step before transferring the result into another system.
OCR can reduce retyping, but the extracted text still needs a way to be checked.
Inside the workspace
Qari OCR: a closer look
Explore how the product could bring its tools and working records into one view. Review the workflow design during your product walkthrough.
Features & client solutions
What this helps your team solve
Connect each capability to a day-to-day task and a practical result your team can evaluate.
Handwriting recognition support
Review supported handwritten content with a clear correction step for uncertain recognition.
Batch document processing
Process document batches together to reduce repetitive file-by-file handling.
Bring one example from your daily work. We can review the records involved, who owns each step and which integrations are needed before defining the implementation scope.
Discuss your workflowProduct fit
Qari OCR for the way your team works
A useful workflow keeps the source image beside the result and highlights fields that need attention. Scan quality, language and document layout influence the evaluation.
Areas to assess in a walkthrough
- Multi-language text recognition
- Handwriting recognition support
- Batch document processing
- Searchable PDF output
- API for system integration
In practice
Qari OCR: a practical example
Scan a clean page, a tilted page and a faded receipt. Examine the fields people actually need rather than judging only the full text. Keep the original image accessible so staff can correct uncertain readings.
An illustrative scenario to discuss when planning your project.From records to decisions
How your team works with Qari OCR
The people involved include records teams, data-entry reviewers and application developers. Begin with a small, representative set of scanned documents, supported scripts, handwriting samples and output formats, then identify the decision or action each role needs to complete. This helps shape a useful first release and avoids collecting information that nobody uses.
Make review part of the workflow.
Start with a narrow task and representative examples, including difficult cases. Define what the system may do, when a person must review its output and how corrections are recorded. Measure usefulness against the task itself, rather than treating a confident-looking response as proof that it is correct.
Implementation approach01 02 03 04
From agreed scope to everyday use
Review the starting point
Identify the current sources of scanned documents, supported scripts, handwriting samples and output formats. Check data quality, shared references and required fields before agreeing what will be migrated, connected or recreated.
Define roles and connections
Review the needs of records teams, data-entry reviewers and application developers. Document permissions, required integrations, the authoritative system for each record and what happens when information cannot be exchanged.
Test an end-to-end case
Use safe sample data to compare extracted text with the source scan and correct an ambiguous passage. Agree expected results, review exceptions and record acceptance decisions before widening access.
Prepare the operational handover
Name the configuration owner, change decision-maker and support contact. Plan training and documentation around ordinary tasks, then review early use under the agreed support arrangement.
Practical details
Questions before getting started
What should we bring to the first walkthrough?
Prepare examples of scanned documents, supported scripts, handwriting samples and output formats, with confidential details removed. Explain the step that takes the most effort or causes confusion, and identify who needs to review the result.
How do we decide whether it fits our work?
We define a scenario that lets your team compare extracted text with the source scan and correct an ambiguous passage. Compare the result with the current process and document requirements and gaps before approving the implementation scope.
Can it connect to our existing systems?
The required systems and data sources are reviewed first. The integration plan covers access, field mapping, transfer timing and responsibility for errors. The proposal identifies included connections and any custom work needed.
How are pricing and support agreed?
The proposal considers features, users or workload, the operating environment, integrations and migration. Training, operational ownership and the support arrangement are agreed alongside the implementation scope.