Anlab Launches 'Inspection Sheet OCR' to Automate Data Extraction and Compliance Checks in Manufacturing

Anlab Co., Ltd. (Headquarters: Shibuya-ku, Tokyo; CEO: Ken Ohara) has announced the full-scale general availability of its 'Inspection Sheet OCR,' a solution that uses AI to automate everything from reading inspection forms to checking values against standards and making pass/fail judgments. This solution has already been in practical use mainly at manufacturing sites, contributing to the efficiency of inspection work and quality improvement.

### Background
In manufacturing sites, quality confirmation using inspection forms such as inspection certificates and maintenance records is performed daily. However, many sites still rely on paper or PDF workflows, where the verification of contents and comparison with reference values are dependent on human labor. As a result, issues such as increased workload and human errors like confirmation mistakes or oversights tend to occur, making it a challenge to balance efficiency and quality. In particular, as high-mix, short-term deliveries increase, there is a growing demand for the efficiency and standardization of inspection work.

### What is 'Inspection Sheet OCR'?
'Inspection Sheet OCR' is a solution that uses AI OCR technology to automatically read numerical and character information described on inspection forms and perform everything from comparison with reference values to judgment in an integrated manner. By simply uploading an inspection form, the AI analyzes the content and automatically judges and visualizes the results. The greatest feature of this solution is the ability to automate 'reading + checking + judgment' all at once. It goes beyond simple digitization to automatically judge the validity of inspection results, making it possible to significantly reduce verification work that was previously done manually.

### Features
* High-precision recognition of diverse information such as handwritten characters, check marks, and stamps.
* Flexible response to inspection forms with different formats (unstructured form support).
* Automatic comparison with reference values for pass/fail judgment.
* Automatic detection and visualization of abnormal values and omissions.
* Can be introduced as is without changing existing document workflows.

### Implementation Results
'Inspection Sheet OCR' is already in practical use in several companies, primarily in the manufacturing industry, achieving dramatic improvements such as:
* **Elimination of Individual Reliance:** The AI automatically checks hundreds of different types of inspection form formats from various suppliers without prior settings, eliminating individual reliance on verification work.
* **Prevention of Human Error:** The AI immediately detects minute deviations from reference values, missing check marks, and forgotten approval stamps that tend to be overlooked by visual inspection, dramatically improving the accuracy of quality management.
* **Significant Reduction in Man-hours:** By substituting transcription work and visual comparison with AI, the man-hours required for quality control personnel to check inspection forms have been significantly reduced, creating an environment where they can focus on their original quality improvement work.

### Workflow
1. Upload inspection form (paper or PDF).
2. Automatic reading and analysis by AI.
3. Comparison with reference values and judgment.
4. Confirmation of results (abnormal areas are highlighted).

### Future Outlook
Anlab Co., Ltd. plans to expand this solution primarily in the manufacturing industry and will continue to support the DX promotion of companies by expanding into various business areas related to document processing and quality management, beyond inspection work.