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Real-Time OCR

  • Ultra-Low Latency: Optimized for real-time use cases.
  • Accurate OCR Models: Detects text, numbers, and symbols with confidence scoring.
  • Structured Output: Returns clean JSON with text, coordinates, and metadata.
Example Request:
curl -X POST https://api.finvera.news/ocr/v1/extract \
-H "Content-Type: application/json" \
-d '{
"frame": "data:image/png;base64,..."
}'

Example Response:
{
"timestamp": "2024-11-05T17:00:00Z",
"results": [
{ "text": "Q3 Earnings Call", "x": 120, "y": 45, "confidence": 0.97 },
{ "text": "Revenue: $14.2M", "x": 128, "y": 78, "confidence": 0.94 }
]
}

Use Cases

  • Real-time video transcription
  • Financial broadcast analysis
  • Compliance and monitoring
  • Visual data enrichment for AI pipelines

Video Stream Example

When frames like the one below are sent to the endpoint, the OCR engine will extract the text and send via JSON.
OCR on a video feed
Example Response:
{
"timestamp": "2024-11-05T17:36:02Z",
"results": [
{ "text": "BREAKING NEWS" },
{ "text": "BOEING DELAYS 777X ENTRY TO SERVICE" }
]
}