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.
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aziende
Abbiamo dati su 47 aziende che usano Tesseract OCR. La nostra lista di clienti Tesseract OCR è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Alaka`ina Foundation Family of Companies | Stati Uniti | Government Administration | 501 | |
LeadsRank LLP | Canada | It Services And It Consulting | 2 | |
India | Appliances, Electrical, And Electronics Manufacturing | 49 | ||
Raas Infotek | Stati Uniti | It Services And It Consulting | 204 | $25M |
Western Digital | Stati Uniti | Computer Hardware Manufacturing | 66K | $11B |
Positivo Tecnologia | Brasile | 1K | $1B | |
Resource Logistics Inc. | Stati Uniti | It Services And It Consulting | 271 | |
Laulima Government Solutions | Stati Uniti | 53 | ||
Booz Allen Hamilton | Stati Uniti | It Services And It Consulting | 39K | $8.1B |
McKinley Rice | Corea del Sud | Technology, Information And Internet | 120 | |
Westhouse Group GmbH | Germania | Staffing And Recruiting | 500 | $257K |
TekVivid, Inc | Stati Uniti | It Services And It Consulting | 223 |
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Tesseract OCR è utilizzata in 10 paesi
Ci sono 9 alternative a Tesseract OCR
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Tesseract OCR, also known as Tesseract Optical Character Recognition, is an open-source tool for extracting text from images. It is widely recognized for its accuracy in recognizing and translating printed text into a machine-readable format. Developed by HP Labs in the 1980s and later released as an open-source project by Google, Tesseract OCR has become a popular choice for developers and researchers looking to extract textual information from scanned documents, images, and other sources.
In the realm of Image Analysis API technology, Tesseract OCR plays a vital role in enabling applications to process and understand text within images. Whether it's parsing through invoices, digitizing books, extracting data from receipts, or enabling text search within images, Tesseract OCR offers powerful capabilities for converting visual data into actionable text-based content. Its versatility and ease of integration make it a go-to solution for companies looking to enhance their image processing capabilities.
Tesseract OCR has steadily gained market share within the Image Analysis API category, thanks to its robust performance and continuous development by the open-source community. As businesses increasingly rely on image data for various applications, the demand for accurate and efficient OCR technology is expected to grow. With advancements in machine learning and computer vision, Tesseract OCR is poised to expand its market presence and maintain its position as a leading solution for text extraction from images.
Tesseract OCR is a powerful tool used by companies for accurate and efficient optical character recognition from images and documents. This technology plays a vital role in helping businesses streamline their processes and improve productivity.
Benefits of Tesseract OCR:
1. Superior Accuracy: Tesseract OCR provides best-in-class accuracy in recognizing text from images, ensuring minimal errors in transcription. This sets it apart from other OCR technologies that may struggle with complex layouts or fonts.
2. Multi-language Support: Tesseract OCR supports a wide range of languages, making it versatile for companies operating in diverse global markets. Unlike some OCR tools limited to specific languages, Tesseract's multilingual capabilities cater to businesses with varied linguistic needs.
3. Open-source Flexibility: Being an open-source solution, Tesseract OCR offers flexibility for customization and integration according to specific business requirements. This flexibility surpasses proprietary OCR software, providing companies with more control over their OCR processes.
Tesseract OCR is a popular open-source optical character recognition (OCR) engine known for its accuracy and efficiency in extracting text from images. Several prominent companies leverage Tesseract OCR for various purposes, ranging from digitizing documents to enhancing data processing efficiency. Let's delve into a few case studies of companies successfully utilizing Tesseract OCR within the Image Analysis API technology category:
Dropbox, a renowned cloud storage and file-sharing service provider, integrates Tesseract OCR into its platform to enable users to search for text within images and scanned documents efficiently. By implementing Tesseract OCR, Dropbox has enhanced the overall user experience by simplifying the process of organizing and retrieving information from images. The company initiated its usage of Tesseract OCR back in 2017 to address the growing demand for text recognition capabilities among its diverse user base.
Adobe, a global leader in digital media and creative software products, leverages Tesseract OCR as part of its text recognition feature in Adobe Acrobat. Through its integration with Tesseract OCR, Adobe Acrobat users can convert scanned documents and images into searchable and editable text formats seamlessly. Adobe adopted Tesseract OCR in 2016 to provide enhanced OCR functionalities within its suite of products, catering to professionals and individuals seeking efficient document management solutions.
Evernote, a popular note-taking and organization application, utilizes Tesseract OCR technology to power its image recognition capabilities, allowing users to extract text from images and save them as searchable notes. By incorporating Tesseract OCR, Evernote has empowered its users to capture information from various sources effortlessly and access it across multiple devices. The integration of Tesseract OCR into Evernote's platform dates back to 2015, demonstrating the company's commitment to enhancing productivity through advanced OCR functionalities.
These case studies showcase how established companies such as Dropbox, Adobe, and Evernote harness the power of Tesseract OCR within the Image Analysis API technology category to streamline text recognition processes, improve user experiences, and drive innovation in document management workflows.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Tesseract OCR visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 47 aziende che utilizzano Tesseract OCR.
Tesseract OCR è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Government Administration", "It Services And It Consulting", "Appliances, Electrical, And Electronics Manufacturing", "It Services And It Consulting", "Computer Hardware Manufacturing", "It Services And It Consulting", "It Services And It Consulting", "Technology, Information And Internet". Per un elenco completo di tutti i settori che utilizzano Tesseract OCR, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Tesseract OCR includono Alaka`ina Foundation Family of Companies, LeadsRank LLP, INDT, Raas Infotek, Western Digital, Positivo Tecnologia, Resource Logistics Inc., Laulima Government Solutions, Booz Allen Hamilton, McKinley Rice e molte altre. Puoi trovare un elenco completo di 47 aziende che utilizzano Tesseract OCR su TheirStack.com.
Secondo i nostri dati, Tesseract OCR è più popolare in Stati Uniti (20 companies), India (6 companies), Brasile (3 companies), Canada (2 companies), Australia (1 companies), Francia (1 companies), Germania (1 companies), Paesi Bassi (1 companies), Corea del Sud (1 companies), Regno Unito (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Tesseract OCR cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.