Development of a compact app within Telegram, enabling integration with TON Connect and InvoiceNet for efficient invoice data management
Bounty Context
Why it's Important?
This app, by harnessing the capabilities of TON Connect and InvoiceNet, promises to streamline invoice data extraction via Telegram and ensures reduced errors, fast data gathering, and improved efficiency. This will also provide a demonstration of how well TON Connect can meld with various platforms like Telegram.
Problem showcase
The task of processing invoice documents is time-intensive and challenging. Manual methods or traditional OCR techniques often offer unreliable results due to factors like varying invoice layouts, fonts, and scan quality. Also, implementing this operation on a messaging interface like Telegram hasn't been achieved previously.
Potential Solution
The proposed solution aims to build a mini-application within Telegram, utilizing the TON Connect and InvoiceNet for recognition. The designed app should be able to receive invoice documents in PDF/JPG/PNG formats, extract the necessary data using InvoiceNet, and save it directly into the user's system. Furthermore, users ought to be able to adjust the extracted information fields to fit their respective needs.
implementation period: 3-4 weeks
Defenition of Done
Integration of TON Connect and InvoiceNet into a Telegram app. 2. Successful receipt and processing of invoice documents in PDF/JPG/PNG formats. 3. Accurate extraction and saving of essential invoice data directly to a user's system. 4. Provision for invoice field modification by users. Possibility to pay for recognition with jettons or toncoins
Summary
Development of a compact app within Telegram, enabling integration with TON Connect and InvoiceNet for efficient invoice data management
Bounty Context
Why it's Important? This app, by harnessing the capabilities of TON Connect and InvoiceNet, promises to streamline invoice data extraction via Telegram and ensures reduced errors, fast data gathering, and improved efficiency. This will also provide a demonstration of how well TON Connect can meld with various platforms like Telegram.
Problem showcase The task of processing invoice documents is time-intensive and challenging. Manual methods or traditional OCR techniques often offer unreliable results due to factors like varying invoice layouts, fonts, and scan quality. Also, implementing this operation on a messaging interface like Telegram hasn't been achieved previously.
Potential Solution The proposed solution aims to build a mini-application within Telegram, utilizing the TON Connect and InvoiceNet for recognition. The designed app should be able to receive invoice documents in PDF/JPG/PNG formats, extract the necessary data using InvoiceNet, and save it directly into the user's system. Furthermore, users ought to be able to adjust the extracted information fields to fit their respective needs.
implementation period: 3-4 weeks
Defenition of Done
References
https://ton.org/, https://github.com/naresh-dixit/InvoiceNet
REWARD
🪄 Created with the help of TON Bounties Creator Bot.