Marker converts PDF to markdown quickly and accurately. Supports a wide range of documents (optimized for books and scientific papers) [...] Here are some known limitations that are on the roadmap to address: Marker will not convert 100% of equations to LaTeX. [...] marker /path/to/input/folder /path/to/output/folder --workers 10 --max 10 --metadata_file /path/to/metadata.json --min_length 10000 --workers is the number of pdfs to convert at once. [...] Then run benchmark.py like this: python benchmark.py data/pdfs data/references report.json --nougat This will benchmark marker against other text extraction methods.

yt-dlp is a https://github.com/ytdl-org/youtube-dl fork based on the now inactive https://github.com/blackjack4494/yt-dlc. You can install yt-dlp using #release-files, https://pypi.org/project/yt-dlp or one using a third-party package manager. [...] # Download best format that contains video, # and if it doesn't already have an audio stream, merge it with best audio-only format $ yt-dlp -f "bv+ba/b" [...] # Download and merge the best format that has a video stream, # and the best 2 audio-only formats into one file $ yt-dlp -f "bv+ba+ba.2" --audio-multistreams [...] # Download the best mp4 video available, or the best video if no mp4 available $ yt-dlp -f "bv[ext=mp4]+ba[ext=m4a]/b[ext=mp4] / bv+ba/b"

Download all your kindle books script. pip3 install -r requirements.txt python no_kindle.py -e ${email} -p ${password} [...] Cli 安装使用 python3 requirements python3 --version # 查看 python 版本 pip3 install kindle_download # 使用 pip 安装 git clone https://github.com/yihong0618/Kindle_download_helper.git && cd Kindle_download_helper pip3 install -r requirements.txt python kindle.py -h # 查看使用参数 usage: kindle.py [-h] [--cookie COOKIE | --cookie-file COOKIE_FILE] [--cn] [--jp] [--de] [--uk] [--resume-from INDEX] [--cut-length CUT_LENGTH] [-o OUTDIR] [-od OUTDEDRMDIR] [-s SESSION_FILE] [--pdoc] [--resolve_duplicate_names] [--readme] [--dedrm] [--list] [--device_sn DEVICE_SN] [--mode MODE] [csrf_token] positional arguments: csrf_token amazon or amazon cn csrf token optional arguments: -h, --help show this help message and exit --cookie COOKIE amazon or amazon cn cookie --cookie-file COOKIE_FILE load cookie local file --cn if your account is an amazon.cn account --jp if your account is an amazon.co.jp account --de if your account is an amazon.de account --uk if your account is an amazon.co.uk account --resume-from INDEX resume from the index if download failed --cut-length CUT_LENGTH truncate the file name dwonload output dir -od OUTDEDRMDIR, --outdedrmdir OUTDEDRMDIR dwonload output dedrm dir -s SESSION_FILE, --session-file SESSION_FILE The reusable session dump file --pdoc to download personal documents or ebook --resolve_duplicate_names Resolve duplicate names files to download --readme If you want to generate kindle readme stats --dedrm If you want to dedrm directly --list just list books/pdoc, not to download --device_sn DEVICE_SN Download file for device with this serial number --mode MODE Mode of download, all : download all files at once, sel: download selected files 下载 kindle 书籍 [...] python3 kindle.py --cn ${csrfToken} # Both cookie and CSRF Token python3 kindle.py --cn --cookie ${cookie} ${csrfToken} 自动获取 cookie 如果你的运行环境是本机，项目可以使用 https://github.com/borisbabic/browser_cookie3 库自动从浏览器中获取 cookie。 使用 amazon.cn 登陆 amazon.cn 访问 https://www.amazon.cn/hz/mycd/myx#/home/content/booksAll/dateDsc/ 右键查看源码，搜索 csrfToken 复制后面的 value 执行 python3 kindle.py --cn 如果下载推送文件 python3 kindle.py --cn --pdoc 如果想直接 dedrm 解密 (不保证好用) python3 kindle.py --cn --pdoc --dedrm how to amazon.com login amazon.com visit https://www.amazon.com/hz/mycd/myx#/home/content/booksAll/dateDsc/ right click this page source then find csrfToken value copy run: python3 kindle.py if is doc file python3 kindle.py --pdoc how to amazon.de login amazon.de visit https://www.amazon.de/hz/mycd/myx#/home/content/booksAll/dateDsc/ right click this page source then find csrfToken value copy run: python3 kindle.py --de if is doc file python3 kindle.py --de --pdoc how to amazon.co.uk login amazon.co.uk visit https://www.amazon.co.uk/hz/mycd/myx#/home/content/booksAll/dateDsc/ right click this page source then find csrfToken value copy run: python3 kindle.py --uk if is doc file python3 kindle.py --uk --pdoc amazon.jp を使用する amazon.co.jp にログインする。