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| 1 | +# Chart2CSV API Reference |
| 2 | + |
| 3 | +> **Base URL:** `https://chart2csv.kikuai.dev` |
| 4 | +> |
| 5 | +> **Powered by Mistral Pixtral** — 90%+ accuracy on chart extraction |
| 6 | +
|
| 7 | +--- |
| 8 | + |
| 9 | +## Endpoints |
| 10 | + |
| 11 | +### `POST /extract` |
| 12 | + |
| 13 | +Extract data from a chart image. |
| 14 | + |
| 15 | +#### Parameters |
| 16 | + |
| 17 | +| Parameter | Type | Default | Description | |
| 18 | +|-----------|------|---------|-------------| |
| 19 | +| `file` | file | required | Chart image (PNG, JPG, WebP) | |
| 20 | +| `mode` | string | `llm` | Extraction mode: `llm`, `cv`, `auto` | |
| 21 | +| `chart_type` | string | auto | Force type: `scatter`, `line`, `bar` | |
| 22 | + |
| 23 | +#### Modes |
| 24 | + |
| 25 | +- **`llm`** (default) — Mistral Pixtral vision extraction, 90%+ accuracy |
| 26 | +- **`cv`** — Computer vision pipeline (legacy), faster but less accurate |
| 27 | +- **`auto`** — Try LLM first, fall back to CV if it fails |
| 28 | + |
| 29 | +--- |
| 30 | + |
| 31 | +## Examples |
| 32 | + |
| 33 | +### curl |
| 34 | + |
| 35 | +```bash |
| 36 | +curl -X POST "https://chart2csv.kikuai.dev/extract" \ |
| 37 | + -F "file=@chart.png" \ |
| 38 | + -F "mode=llm" |
| 39 | +``` |
| 40 | + |
| 41 | +### Python |
| 42 | + |
| 43 | +```python |
| 44 | +import requests |
| 45 | + |
| 46 | +url = "https://chart2csv.kikuai.dev/extract" |
| 47 | + |
| 48 | +with open("chart.png", "rb") as f: |
| 49 | + response = requests.post( |
| 50 | + url, |
| 51 | + files={"file": f}, |
| 52 | + data={"mode": "llm"} |
| 53 | + ) |
| 54 | + |
| 55 | +result = response.json() |
| 56 | +print(f"Extracted {len(result['data'])} points") |
| 57 | +print(f"CSV:\n{result['csv']}") |
| 58 | +``` |
| 59 | + |
| 60 | +### JavaScript (fetch) |
| 61 | + |
| 62 | +```javascript |
| 63 | +const form = new FormData(); |
| 64 | +form.append('file', fileInput.files[0]); |
| 65 | +form.append('mode', 'llm'); |
| 66 | + |
| 67 | +const response = await fetch('https://chart2csv.kikuai.dev/extract', { |
| 68 | + method: 'POST', |
| 69 | + body: form |
| 70 | +}); |
| 71 | + |
| 72 | +const result = await response.json(); |
| 73 | +console.log(`Extracted ${result.data.length} points`); |
| 74 | +console.log('CSV:', result.csv); |
| 75 | +``` |
| 76 | + |
| 77 | +### JavaScript (axios) |
| 78 | + |
| 79 | +```javascript |
| 80 | +import axios from 'axios'; |
| 81 | + |
| 82 | +const form = new FormData(); |
| 83 | +form.append('file', file); |
| 84 | +form.append('mode', 'llm'); |
| 85 | + |
| 86 | +const { data } = await axios.post( |
| 87 | + 'https://chart2csv.kikuai.dev/extract', |
| 88 | + form |
| 89 | +); |
| 90 | + |
| 91 | +console.log(data.csv); |
| 92 | +``` |
| 93 | + |
| 94 | +--- |
| 95 | + |
| 96 | +## Response Format |
| 97 | + |
| 98 | +```json |
| 99 | +{ |
| 100 | + "success": true, |
| 101 | + "chart_type": "scatter", |
| 102 | + "confidence": 0.95, |
| 103 | + "data": [ |
| 104 | + {"x": 0, "y": 10}, |
| 105 | + {"x": 1, "y": 20}, |
| 106 | + {"x": 2, "y": 30} |
| 107 | + ], |
| 108 | + "csv": "x,y\n0,10\n1,20\n2,30", |
| 109 | + "warnings": [], |
| 110 | + "processing_time_ms": 2500 |
| 111 | +} |
| 112 | +``` |
| 113 | + |
| 114 | +--- |
| 115 | + |
| 116 | +## Rate Limits |
| 117 | + |
| 118 | +- **20 requests per minute** per IP |
| 119 | +- Contact us for higher limits |
| 120 | + |
| 121 | +--- |
| 122 | + |
| 123 | +## Swagger UI |
| 124 | + |
| 125 | +Interactive API documentation: [chart2csv.kikuai.dev/docs](https://chart2csv.kikuai.dev/docs) |
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