This is the Windows app named DeepSeek-OCR whose latest release can be downloaded as DeepSeek-OCRsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named DeepSeek-OCR with OnWorks for free.
Ikut arahan ini untuk menjalankan apl ini:
- 1. Memuat turun aplikasi ini dalam PC anda.
- 2. Masukkan dalam pengurus fail kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang anda mahukan.
- 3. Muat naik aplikasi ini dalam pengurus filem tersebut.
- 4. Mulakan mana-mana emulator dalam talian OS OnWorks daripada tapak web ini, tetapi emulator dalam talian Windows yang lebih baik.
- 5. Daripada OS Windows OnWorks yang baru anda mulakan, pergi ke pengurus fail kami https://www.onworks.net/myfiles.php?username=XXXX dengan nama pengguna yang anda mahukan.
- 6. Muat turun aplikasi dan pasangnya.
- 7. Muat turun Wine dari repositori perisian pengedaran Linux anda. Setelah dipasang, anda kemudian boleh mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga boleh mencuba PlayOnLinux, antara muka mewah melalui Wine yang akan membantu anda memasang program dan permainan Windows yang popular.
Wain ialah cara untuk menjalankan perisian Windows pada Linux, tetapi tanpa Windows diperlukan. Wain ialah lapisan keserasian Windows sumber terbuka yang boleh menjalankan program Windows secara langsung pada mana-mana desktop Linux. Pada asasnya, Wine cuba untuk melaksanakan semula Windows yang mencukupi dari awal supaya ia boleh menjalankan semua aplikasi Windows tersebut tanpa memerlukan Windows.
SKRIN:
DeepSeek-OCR
HURAIAN:
DeepSeek-OCR is an open-source optical character recognition solution built as part of the broader DeepSeek AI vision-language ecosystem. It is designed to extract text from images, PDFs, and scanned documents, and integrates with multimodal capabilities that understand layout, context, and visual elements beyond raw character recognition. The system treats OCR not simply as “read the text” but as “understand what the text is doing in the image”—for example distinguishing captions from body text, interpreting tables, or recognizing handwritten versus printed words. It supports local deployment, enabling organizations concerned about privacy or latency to run the pipeline on-premises rather than send sensitive documents to third-party cloud services. The codebase is written in Python with a focus on modularity: you can swap preprocessing, recognition, and post-processing components as needed for custom workflows.
Ciri-ciri
- Modular pipeline architecture for image preprocessing, text recognition, and layout analysis
- Support for both printed and handwritten text across multiple scripts and languages
- Table and chart recognition so structured content is preserved, not just linear text
- Local-deployment option to keep data on-premises and avoid cloud transfers
- Python API and CLI tool for integration into scripts, workflows, or batch jobs
- Configurable post-processing (e.g., spell checking, layout repair, structured output)
Bahasa Pengaturcaraan
Python
Kategori
This is an application that can also be fetched from https://sourceforge.net/projects/deepseek-ocr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.