
OCR Web Service
A customer uploads a scanned invoice, and your AI agent processes it through OCR Web Service, extracting text, tables, and structured data in seconds. Documents get digitized during the conversation, not after a manual handoff. Support teams handle fewer document processing requests.




Your AI agent converts scanned PDFs and images into editable text, Word documents, and Excel files through OCR Web Service's recognition engine, all within the flow of conversation.
OCR Web Service
See how businesses use AI agents to extract text from invoices, contracts, and forms during live customer interactions, eliminating manual document processing bottlenecks.
A vendor submits a scanned invoice through your chat interface. Your AI agent sends the image to OCR Web Service, extracts the vendor name, line items, amounts, and due date, then presents the structured data back in the conversation. The accounting team gets clean, digitized invoice data without manually keying in numbers from a PDF scan.
A customer uploads a scanned contract and asks about a specific clause. The AI agent processes the document through OCR Web Service, extracts the full text, and searches for the relevant section. The customer gets their answer from the contract content in seconds, and your team avoids hours of manual document transcription.
Before a high-volume document processing day, the operations manager asks the AI agent to check the OCR Web Service account status. The agent retrieves the remaining page credits, current subscription tier, and renewal date. The manager confirms there is enough quota to handle the batch, avoiding mid-process interruptions.

OCR Web Service
FAQs
The agent calls OCR Web Service's Recognize endpoint, sending the image data along with processing settings like language and output format. The API returns extracted text, optional word coordinates, and the output document. The agent presents the results in the conversation immediately.
OCR Web Service processes scanned PDFs, TIFF, JPEG, PNG, BMP, and GIF images. Multi-page PDFs and multi-frame TIFF files are supported. The agent passes the file to the API with the appropriate format settings for optimal recognition accuracy.
Yes. The OCR settings include output format options. When you specify Word (DOCX) or Excel (XLSX) as the output type, OCR Web Service returns the recognized content in that format. The agent can then share the file link or the extracted data within the conversation.
No. Document images are sent to OCR Web Service for processing and the results are returned during the conversation. Tars does not cache or store the original documents or the extracted text. Your document data is handled by OCR Web Service according to their retention policy.
OCR Web Service supports recognition in multiple languages including English, German, French, Spanish, Italian, Portuguese, and many more. You specify the language code in the processing settings, and the agent ensures the correct language model is applied for accurate extraction.
Manual copy-paste only works on digital PDFs with embedded text. OCR Web Service processes scanned images where text exists only as pixels. Your AI agent handles the entire process, from receiving the scanned file to returning structured text, all within the conversation.
Yes. The agent calls the Get Account Information endpoint, which returns your remaining page credits, subscription plan name, and expiration date. This is useful for monitoring usage before large processing jobs to ensure you have sufficient quota.
OCR Web Service returns error details when recognition fails or produces low confidence results. The agent reports these issues clearly and suggests improving scan quality, adjusting language settings, or trying a different page. It does not leave the user without guidance.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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