PDF scientific paper translation and bilingual comparison.
- 📊 Preserve formulas, charts, table of contents, and annotations (preview).
- 🌐 Support multiple languages, and diverse translation services.
- 🤖 Provides commandline tool, interactive user interface, and Docker
Feel free to provide feedback in GitHub Issues, Telegram Group or QQ Group.
- [Nov. 26 2024] CLI now supports online file(s) (by @reycn)
- [Nov. 24 2024] ONNX support to reduce dependency sizes (by @Wybxc)
- [Nov. 23 2024] 🌟 Public Service online! (by @Byaidu)
- [Nov. 23 2024] Firewall for preventing web bots (by @Byaidu)
- [Nov. 22 2024] GUI now supports Italian, and has been improved (by @Byaidu, @reycn)
- [Nov. 22 2024] You can now share your deployed service to others (by @Zxis233)
- [Nov. 22 2024] Now supports Tencent Translation (by @hellofinch)
- [Nov. 21 2024] GUI now supports downloading dual-document (by @reycn)
- [Nov. 20 2024] 🌟 Demo online! (by @reycn)
Free Service (https://pdf2zh.com/)
You can try our public service online without installation.
You can try our demo on HuggingFace without installation. Note that the computing resources of the demo are limited, so please avoid abusing them.
We provide three methods for using this project: Commandline, GUI, and Docker.
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Python installed (3.8 <= version <= 3.12)
-
Install our package:
pip install pdf2zh
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Execute translation, files generated in current working directory:
pdf2zh document.pdf
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Python installed (3.8 <= version <= 3.12)
-
Install our package:
pip install pdf2zh
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Start using in browser:
pdf2zh -i
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If your browswer has not been started automatically, goto
http://localhost:7860/
See documentation for GUI for more details.
-
Pull and run:
docker pull byaidu/pdf2zh docker run -d -p 7860:7860 byaidu/pdf2zh
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Open in browser:
http://localhost:7860/
For docker deployment on cloud service:
Execute the translation command in the command line to generate the translated document example-zh.pdf
and the bilingual document example-dual.pdf
in the current working directory. Use Google as the default translation service.
In the following table, we list all advanced options for reference:
Option | Function | Example |
---|---|---|
files | Local files | pdf2zh ~/local.pdf |
links | Online files | pdf2zh http://arxiv.org/paper.pdf |
-i |
Enter GUI | pdf2zh -i |
-p |
Partial document translation | pdf2zh example.pdf -p 1 |
-li |
Source language | pdf2zh example.pdf -li en |
-lo |
Target language | pdf2zh example.pdf -lo zh |
-s |
Translation service | pdf2zh example.pdf -s deepl |
-t |
Multi-threads | pdf2zh example.pdf -t 1 |
-o |
Output dir | pdf2zh example.pdf -o output |
-f , -c |
Exceptions | pdf2zh example.pdf -f "(MS.*)" |
Some services require setting environmental variables.
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Entire document
pdf2zh example.pdf
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Part of the document
pdf2zh example.pdf -p 1-3,5
See Google Languages Codes, DeepL Languages Codes
pdf2zh example.pdf -li en -lo ja
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DeepL
See DeepL
Set ENVs to construct an endpoint like:
{DEEPL_SERVER_URL}/translate
DEEPL_SERVER_URL
(Optional), e.g.,export DEEPL_SERVER_URL=https://api.deepl.com
DEEPL_AUTH_KEY
, e.g.,export DEEPL_AUTH_KEY=xxx
pdf2zh example.pdf -s deepl
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DeepLX
See DeepLX
Set ENVs to construct an endpoint like:
{DEEPL_SERVER_URL}/translate
DEEPLX_SERVER_URL
(Optional), e.g.,export DEEPLX_SERVER_URL=https://api.deeplx.org
DEEPLX_AUTH_KEY
, e.g.,export DEEPLX_AUTH_KEY=xxx
pdf2zh example.pdf -s deeplx
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Ollama
See Ollama
Set ENVs to construct an endpoint like:
{OLLAMA_HOST}/api/chat
OLLAMA_HOST
(Optional), e.g.,export OLLAMA_HOST=https://localhost:11434
pdf2zh example.pdf -s ollama:gemma2
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LLM with OpenAI compatible schemas (OpenAI / SiliconCloud / Zhipu)
See SiliconCloud, Zhipu
Set ENVs to construct an endpoint like:
{OPENAI_BASE_URL}/chat/completions
OPENAI_BASE_URL
(Optional), e.g.,export OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_API_KEY
, e.g.,export OPENAI_API_KEY=xxx
pdf2zh example.pdf -s openai:gpt-4o
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Azure
Following ENVs are required:
AZURE_APIKEY
, e.g.,export AZURE_APIKEY=xxx
AZURE_ENDPOINT
, e.g,export AZURE_ENDPOINT=https://api.translator.azure.cn/
AZURE_REGION
, e.g.,export AZURE_REGION=chinaeast2
pdf2zh example.pdf -s azure
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Tencent Machine Translation
See Tencent Machine Translation
Following ENVs are required:
TENCENT_SECRET_ID
, e.g.,export TENCENT_SECRET_ID=AKIDxxx
TENCENT_SECRET_KEY
, e.g,export TENCENT_SECRET_KEY=xxx
pdf2zh example.pdf -s tencent
Use regex to specify formula fonts and characters that need to be preserved:
pdf2zh example.pdf -f "(CM[^RT].*|MS.*|.*Ital)" -c "(\(|\||\)|\+|=|\d|[\u0080-\ufaff])"
Use -t
to specify how many threads to use in translation:
pdf2zh example.pdf -t 1
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Parse layout with DocLayNet based models, PaddleX, PaperMage, SAM2
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Fix page rotation, table of contents, format of list
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Fix pixel formula in old paper
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Support multiple language with Noto Font, Ubuntu Font
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Async retry except KeyboardInterrupt
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Knuth–Plass algorithm for western languages
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Document merging: PyMuPDF
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Document parsing: Pdfminer.six
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Document extraction: MinerU
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Multi-threaded translation: MathTranslate
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Layout parsing: DocLayout-YOLO
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Document standard: PDF Explained, PDF Cheat Sheets