Tesseract
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Tesseract OCR
Models & InferenceWhat is Tesseract OCR?
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
Tesseract OCR is a tool in the Models & Inference category of a tech stack.
Tesseract OCR Pros & Cons
Pros of Tesseract OCR
- ✓Building training set is easy
- ✓Very lightweight library
Cons of Tesseract OCR
- ✗Works best with white background and black text
Tesseract OCR Alternatives & Comparisons
What are some alternatives to Tesseract OCR?
OpenAI
Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
ChatGPT
It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
