Effortlessly search for prospects, compile lists, and automatically send direct messages on Twitter.
With a massive (growing) database of over 1.5 billion profiles, TweetDM makes it easy to search for specific personas and niches on Twitter.
On top of that TweetDM handles your outreach, set up a DM campaign to automatically reach out to leads and follow-up with custom sequences.
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Based on our record, Tesseract seems to be a lot more popular than TweetDM. While we know about 75 links to Tesseract, we've tracked only 2 mentions of TweetDM. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Heyo, checkout https://tweetdm.com we got an inbox crm, prospect database, and automated dm outreach. Source: about 1 year ago
Twitter is an untapped B2B sales channels so wondering how you're finding clients on Twitter. I built a sales tool called tweetdm.com that helps you find potential customers on Twitter and send mass personalized DMs. Are you using tools or sending manual DMs to people? Source: about 1 year ago
Many of the OCR services are based on the free, open-source Tesseract OCR, but don’t expose all of the options. If you’re handy with shell scripts or Python, you can probably get better performance by hand-tuning options for your particular images. For example, if I recall there are page segmentation options to tell Tesseract to expect multi-column text. That alone might get you better performance than the... - Source: Hacker News / 30 days ago
If you want to learn more visit the complete tesseract documentation. - Source: dev.to / about 2 months ago
AI copilots: Copilots powered by various LLMs like Pieces Copilot can leverage computer vision technologies for inputs beyond text and code. For example, optical character recognition software at Pieces uses Tesseract as its main OCR code engine, extended with bicubic upsampling. Pieces then uses edge-ML models to auto-correct any potential defects in the resulting code/text, which users can input as prompts to... - Source: dev.to / about 2 months ago
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract. - Source: dev.to / 5 months ago
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images. - Source: dev.to / 9 months ago
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