Passport parser in progress

This commit is contained in:
Nitwix
2025-04-12 20:12:14 +02:00
9 changed files with 153 additions and 21 deletions

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@ -1,22 +1,38 @@
import base64
from pdf2image import convert_from_bytes
import pytesseract
import pymupdf
def process_account(account_b64: str) -> str:
"""
Traite l'account :
- Décodage du PDF encodé en base64.
- Conversion de chaque page du PDF en image.
- Application de l'OCR sur chaque image pour extraire le texte.
- Extraction du texte et des champs de formulaire directement depuis le PDF.
:param account_b64: Chaîne base64 représentant le PDF.
:return: Texte extrait de chaque page du PDF.
:return: Texte extrait de chaque page du PDF, incluant les champs du formulaire.
"""
# Décodage du PDF en base64
pdf_bytes = base64.b64decode(account_b64)
images = convert_from_bytes(pdf_bytes)
pages_text = []
for i, image in enumerate(images):
text = pytesseract.image_to_string(image, lang="eng")
pages_text.append(f"--- Page {i + 1} ---\n{text}")
return "\n".join(pages_text)
# Ouverture du PDF avec PyMuPDF
pdf_document = pymupdf.open(stream=pdf_bytes, filetype="pdf")
# Traitement de chaque page
for i in range(len(pdf_document)):
page = pdf_document[i]
# Extraction des champs de formulaire
fields = page.widgets()
form_fields_text = []
for field in fields:
field_name = field.field_name
field_value = field.field_value
form_fields_text.append(f"Field: {field_name}, Value: {field_value}")
combined_text = ""
if form_fields_text:
combined_text += "\n\nForm Fields:\n" + "\n".join(form_fields_text)
pdf_document.close()
return "\n".join(combined_text)

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@ -1,8 +1,10 @@
import base64
import io
from tempfile import NamedTemporaryFile
from PIL import Image
import pytesseract
from passporteye import read_mrz
import json
def process_passport(passport_b64: str) -> str:
"""
@ -14,6 +16,12 @@ def process_passport(passport_b64: str) -> str:
:return: Texte extrait de l'image.
"""
image_bytes = base64.b64decode(passport_b64)
image = Image.open(io.BytesIO(image_bytes))
text = pytesseract.image_to_string(image, lang='eng')
# image = Image.open(io.BytesIO(image_bytes))
# text = pytesseract.image_to_string(image, lang='eng')
with NamedTemporaryFile(mode="wb") as tmp_img:
tmp_img.write(image_bytes)
with open(tmp_img.name, "rb") as read_img:
text = read_mrz(read_img)
# text = json.dumps(text)
# TODO CONTINUE
return text