AI Text Summarizer

How to Use

1. Paste the text (up to 20000 characters).
2. Select the AI model.
3. Modify the prefilled instruction if needed.
4. Click "Summarize Text".
5. Wait for status update.
6. View/copy the generated summary.

Key Features

• 🚀 Efficient request processing
• 🤖 Choice of AI Models
• 📝 Customizable Instructions
• ⚙️ Developer API Available
• 📋 Easy Copying
• ✨ Clean Interface

API Features

• Accepts POST (Recommended) or GET requests to the API endpoint.
• Required: text parameter.
• Optional: model, instruction (uses server defaults if omitted).
• Submitting creates/polls a job.
• Returns JSON response with status, queue_position, and summary_result on completion.
• Uses a request hash for identification.
• HTTP 201 (new), 200 (polling/existing).
• Standard HTTP error codes (400, 413, 500) with JSON message.

API Usage Examples

Send POST requests to your API endpoint: https://experimentaldata.co.uk/ai_summarizer/index.php?api=1

Example: Submit/Poll (POST - Recommended)

curl -X POST \
  'https://experimentaldata.co.uk/ai_summarizer/index.php?api=1' \
  -F 'text=Long text here...' \
  -F 'model=google/gemma-2-9b-it:free' \
  -F 'instruction=Summarize in 3 points.'

Example: Submit/Poll using Server Defaults (POST)

curl -X POST \
  'https://experimentaldata.co.uk/ai_summarizer/index.php?api=1' \
  -F 'text=Use all defaults.'

Expected JSON (Completed):

{"id": ..., "hash": "...", "model": "...", "instruction": "...", "summary_result": "...", "status": "completed", "created_at": "...", "updated_at": "...", "processing_started_at": "...", "error_message": null, "queue_position": 0}

Expected JSON (Queued):

{"id": ..., "hash": "...", "model": "...", "instruction": "...", "summary_result": null, "status": "queued", "created_at": "...", "updated_at": "...", "processing_started_at": null, "error_message": null, "queue_position": ...}

Expected JSON (Error):

{ "status": "error", "message": "..." }