The JigsawStack Python SDK allows you to interact with powerful AI services to build AI-powered applications.
- 🧩 Powerful AI services all in one SDK
- ⌨️ Fully typed parameters and responses
- 📡 Built in Webhook support for long-running tasks
- 📦 Built in file system for easy file uploads
To learn more about all available JigsawStack AI services, view the Documentation or Website.
| Category | APIs |
|---|---|
| 👉 General | Translation, Summarization, Sentiment Analysis |
| 🌐 Web | AI Web Scraping, AI Web Search |
| 🎵 Audio | Text to Speech, Speech to Text (Whisper large v3) |
| 👀 Vision | vOCR, Object Detection |
| 🧠 LLMs | Prompt Engine |
| 🖼️ Generative | AI Image (SD, SDXL-Fast & more), HTML to Any |
| 🌍 Geo | Location search, Timezone, IP Geolocation & more |
| ✅ Validation | Email, NSFW images, profanity & more |
| 📁 Store | Simple File Storage, KV Encryption store |
Learn more of about each category in the API reference
To install JigsawStack Python SDK, simply execute the following command in a terminal:
pip install jigsawstack
First, get your API key from the JigsawStack Dashboard
Then, initialize the SDK:
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")AI Scraping Example:
params = {
"url": "https://www.amazon.com/Cadbury-Mini-Caramel-Eggs-Bulk/dp/B0CWM99G5W",
"element_prompts": ["prices"]
}
result = jigsaw.web.ai_scrape(params)Text To Speech Example:
params = {"text": "Hello, how are you doing?"}
result = jigsaw.audio.text_to_speech(params)Speech To Text Example:
params = { "url": "https://rogilvkqloanxtvjfrkm.supabase.co/storage/v1/object/public/demo/Video%201737458382653833217.mp4?t=2024-03-22T09%3A50%3A49.894Z"}
result = jigsaw.audio.speech_to_text(params)VOCR:
params = {
"url": "https://rogilvkqloanxtvjfrkm.supabase.co/storage/v1/object/public/demo/Collabo%201080x842.jpg?t=2024-03-22T09%3A22%3A48.442Z"
}
result = jigsaw.vision.vocr(params)Join JigsawStack community on Discord to connect with other developers, share ideas, and get help with the SDK.
JigsawStack AI SDK is open-source and welcomes contributions. Please open an issue or submit a pull request with your changes. Make sure to be as descriptive as possible with your submissions, include examples if relevant.