The press service of DВrain told a ComNews correspondent

[tanjimajuha20]

ers of the crowdsourcing platform "Yandex Tasks"complainedfor low pay for retyping text from documents - it was 10 kopecks. The author of the tasks is a document digitization startup OOO "DВrain" (DВrain, a Skolkovo resident). As noted by users of the platform, they have encountered similar tasks for an even lower cost - one, two or three kopecks.

that DВrain places tasks for qatar whatsapp resource document digitization on third-party crowdsourcing platforms in addition to recognizing cases that artificial intelligence could not handle: "For example, on printed registration stamps in a passport, our AI recognizes 95% of stamps. For one reason or another, we cannot make out the remaining 5% (very hard to see, etc.). If the customer needs 100% recognition and agrees to involve taggers (people who help determine what is written in hard-to-read fields), we go to Yandex Tasks. Or to Toloka, as it was before. Some clients verify unrecognized data within the company, involving an employee from within. Some want to give us the full cycle."

In 2023, the crowdsourcing platform Toloka separated from Yandex, went to the international market and is now called Toloka AI. But the Yandex Tasks platform appeared - it began to work on the Russian market.

"Yandex Tasks" works on the following principle: a company places tasks on it, for example, DВrain places a cut-out piece of a document, and a person who wants to complete the task and earn money must enter the text that he saw in the picture into the field.

When asked by a ComNews correspondent what stage of development the DBrain AI model is at, whether it exists at all or all documents are deciphered by people for a fee, the DBrain press service replied that the startup guarantees its clients that the vast majority of documents are recognized in up to 5 seconds - during this time, tasks will not even have time to be created in Yandex Tasks, respectively, DBrain AI models exist: "There are dozens of such models: they determine the type of document, search for fields, translate images into machine-readable text, search for fakes in documents. And only if these algorithms have doubts, we rarely send part of the data for manual verification. DBrain has been developing solutions for extracting data from documents since 2019, we have an ML department that trains and develops our models for working with documents. This is an in-house solution."