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# Copyright (C) 2021-2025, Mindee.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://opensource.org/licenses/Apache-2.0> for full license details.
from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status
from app.schemas import OCRBlock, OCRIn, OCRLine, OCROut, OCRPage, OCRWord
from app.utils import get_documents, resolve_geometry
from app.vision import init_predictor
router = APIRouter()
@router.post("/", response_model=list[OCROut], status_code=status.HTTP_200_OK, summary="Perform OCR")
async def perform_ocr(request: OCRIn = Depends(), files: list[UploadFile] = [File(...)]):
"""Runs docTR OCR model to analyze the input image"""
try:
# generator object to list
content, filenames = await get_documents(files)
predictor = init_predictor(request)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
out = predictor(content)
results = [
OCROut(
name=filenames[i],
orientation=page.orientation,
language=page.language,
dimensions=page.dimensions,
items=[
OCRPage(
blocks=[
OCRBlock(
geometry=resolve_geometry(block.geometry),
objectness_score=round(block.objectness_score, 2),
lines=[
OCRLine(
geometry=resolve_geometry(line.geometry),
objectness_score=round(line.objectness_score, 2),
words=[
OCRWord(
value=word.value,
geometry=resolve_geometry(word.geometry),
objectness_score=round(word.objectness_score, 2),
confidence=round(word.confidence, 2),
crop_orientation=word.crop_orientation,
)
for word in line.words
],
)
for line in block.lines
],
)
for block in page.blocks
]
)
],
)
for i, page in enumerate(out.pages)
]
return results
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