Just throw in paper, PDF, or photos. Document management that leaves transcription and organization to AI.
Yomikaki is an AI document management tool designed for the manufacturing and construction industries. By simply uploading paper documents, PDFs, photos, drawings, and screenshots of system screens, the AI reads the content and automatically extracts and structures the necessary information. The extracted data can be output in CSV or Excel format and can also be transcribed into a pre-specified format. Additionally, files and data can be centrally managed with a folder structure tailored to business needs, such as by project or equipment, significantly improving searchability. It reduces manual transcription work and management labor, achieving operational efficiency at a low cost.
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basic information
- Supported file types: paper documents (photos), PDF, Excel, drawings, system screen captures - Features: AI analysis, information extraction, structuring, CSV/Excel output - Extraction by purpose using template settings (inspection sheets, forms, contracts, etc.) - Folder management by project, equipment, and work content - Full-text search and data search support - Operated in a secure AI environment for business use Designed with the premise of handling business data, it can be safely used for internal documents, customer materials, and confidential information.
Price information
You can use our services starting from an initial cost of 300,000 yen and a monthly fee of 100,000 yen. The estimate will vary based on the number of prompts and data items registered, as well as the initial setup details. Please contact us for more information.
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Applications/Examples of results
- Input assistance for equipment inspection and maintenance records - Photographing inspection sheets in paper or PDF format and transcribing them into Excel or maintenance management systems - Support for transcribing from existing system screens to different systems - Text extraction of characters and numbers from photos and drawings - Centralized management of documents and data by project, equipment, and construction Contributes to reducing administrative tasks in manufacturing and construction industries, preventing input errors, and improving searchability.
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