Achieve the digitization of inspection forms! 'Inspection Form OCR' streamlines input and management.
Transforming analog inspection checklists into digital format with image AI to eliminate human errors!
"Inspection Form OCR" is a solution that reads paper inspection forms with a camera, checks for omissions and errors using AI, and converts them into text data. It can accurately read various types of characters, including handwritten and printed text, hiragana, katakana, kanji, numbers, letters, symbols, faded printed characters, check marks, seals, and more. By using "Inspection Form OCR," paper-based inspection forms can be managed as digital data, making them searchable. ● 15 years of experience in image AI! In addition to our packaged services, we can also provide implementation support, customization, and development to solve our customers' challenges! First, please check whether the accuracy is suitable for your site (free of charge). For applications and inquiries, please use the form below.
Inquire About This Product
basic information
●Point 1: High Recognition Accuracy! With a uniquely tuned OCR engine based on 15 years of experience in image AI, it can read handwritten and printed text, including faded printed characters, check marks, and seals, with very high accuracy. Specialized terminology and conditional judgments can also be corrected by creating dictionaries or training the AI. ●Point 2: Affordable Implementation Costs The survey form OCR can be used with the cameras of smartphones/tablets or PCs, so no special equipment is required. It is possible to utilize existing devices and achieve some cost reduction during implementation. The pricing is set to be accessible even for small and medium-sized enterprises. ●Point 3: Flexible Output Formats The output format of the reading results from the survey form OCR can be customized according to your needs. Examples include: - Immediate output to Excel sheets - Batch output to CSV - Integration with internal business systems, etc. If you are concerned about data security, operation on an internal server instead of a cloud service is also possible. We also support the development of integration with existing business systems that are already in place. Please feel free to consult with us first.
Price information
After hearing your needs, we will provide a separate estimate. If it is a pay-per-use pricing based on the number of documents, please consider it to be a few yen per document as a guideline.
Delivery Time
Applications/Examples of results
Examples of Usage and Application Images In the manufacturing industry: - Workers perform quality checks and manually fill in results with marks or values on the "inspection sheet," and finally stamp it. - Office staff check for any omissions on the "inspection sheet" while registering the data into the company's business system. ➡ When read by 'Inspection Sheet OCR,' it enables automatic omission checks and data registration into the core system. In the service industry: - Customer service usage and requests are managed using paper documents (a mix of handwritten and printed text). ➡ By reading with 'Inspection Sheet OCR,' it allows for centralized management and searching of electronic data.
Detailed information
-
● How to use "Inspection Form OCR" 1: Scan the paper inspection form using the camera of a tablet or smartphone.
-
2: AI automatically recognizes, checks for omissions, and digitizes data.
-
With "Inspection Form OCR," you can read various types of characters, including handwritten and printed text, hiragana, katakana, kanji, numbers, letters, symbols, and even faded printed characters, with very high accuracy.
-
3: Check results can be confirmed from any device.
Company information
Our company specializes in image recognition technology. We offer products such as the appraisal solution "Kaitori Robo," which helps streamline purchasing operations, and the image AI solution "Document Checker," which aids in the efficiency of processing various documents. Please feel free to contact us if you have any inquiries.
