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"""
CONVERTLY - Complete Conversion API Server
Run with: python server.py
Port: 8000
"""
from fastapi import FastAPI, UploadFile, File, Form, HTTPException
from fastapi.responses import JSONResponse, FileResponse, Response
from fastapi.middleware.cors import CORSMiddleware
import uvicorn
import os
import io
import requests
from PIL import Image
import json
import time
from datetime import datetime
from typing import Optional, List
import shutil
import tempfile
import subprocess
import re
import base64
import hashlib
# ===== INITIALIZATION =====
app = FastAPI(
title="CONVERTLY API",
version="3.0.0",
description="Complete file conversion API - All formats supported"
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
HF_TOKEN = os.getenv("HF_TOKEN", "")
MAX_FILE_SIZE = 100 * 1024 * 1024 # 100MB
# ===== ALLOWED FORMATS (REMOVED DATA, FONTS, UNCOMMON) =====
ALLOWED_FORMATS = {
'document': ['pdf', 'docx', 'doc', 'txt', 'rtf', 'odt', 'html', 'md'],
'image': ['png', 'jpg', 'jpeg', 'webp', 'gif', 'bmp', 'tiff', 'ico', 'svg'],
'video': ['mp4', 'webm', 'avi', 'mov', 'mkv', 'wmv', 'flv', '3gp'],
'audio': ['mp3', 'wav', 'flac', 'aac', 'ogg', 'm4a', 'wma'],
'archive': ['zip', 'rar', '7z', 'tar'],
'ebook': ['epub', 'mobi', 'azw3'],
'presentation': ['ppt', 'pptx', 'odp'],
}
ALL_EXTENSIONS = [ext for formats in ALLOWED_FORMATS.values() for ext in formats]
# ===== UTILITY FUNCTIONS =====
def get_file_extension(filename: str) -> str:
return filename.split('.')[-1].lower() if '.' in filename else ''
def get_mime_type(extension: str) -> str:
mime_types = {
# Documents
'pdf': 'application/pdf',
'docx': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
'doc': 'application/msword',
'txt': 'text/plain',
'rtf': 'application/rtf',
'odt': 'application/vnd.oasis.opendocument.text',
'html': 'text/html',
'md': 'text/markdown',
# Images
'png': 'image/png',
'jpg': 'image/jpeg',
'jpeg': 'image/jpeg',
'webp': 'image/webp',
'gif': 'image/gif',
'bmp': 'image/bmp',
'tiff': 'image/tiff',
'ico': 'image/x-icon',
'svg': 'image/svg+xml',
# Video
'mp4': 'video/mp4',
'webm': 'video/webm',
'avi': 'video/x-msvideo',
'mov': 'video/quicktime',
'mkv': 'video/x-matroska',
'wmv': 'video/x-ms-wmv',
'flv': 'video/x-flv',
'3gp': 'video/3gpp',
# Audio
'mp3': 'audio/mpeg',
'wav': 'audio/wav',
'flac': 'audio/flac',
'aac': 'audio/aac',
'ogg': 'audio/ogg',
'm4a': 'audio/mp4',
'wma': 'audio/x-ms-wma',
# Archives
'zip': 'application/zip',
'rar': 'application/x-rar-compressed',
'7z': 'application/x-7z-compressed',
'tar': 'application/x-tar',
# E-books
'epub': 'application/epub+zip',
'mobi': 'application/x-mobipocket-ebook',
'azw3': 'application/vnd.amazon.ebook',
# Presentation
'ppt': 'application/vnd.ms-powerpoint',
'pptx': 'application/vnd.openxmlformats-officedocument.presentationml.presentation',
'odp': 'application/vnd.oasis.opendocument.presentation',
}
return mime_types.get(extension, 'application/octet-stream')
def is_supported_format(extension: str) -> bool:
return extension in ALL_EXTENSIONS
# ===== PDF GENERATION =====
def create_clean_pdf(text_content: str) -> bytes:
"""Create a clean PDF without any added metadata"""
try:
from reportlab.lib.pagesizes import A4
from reportlab.lib.units import cm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_JUSTIFY, TA_CENTER
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
from reportlab.lib import colors
buffer = io.BytesIO()
doc = SimpleDocTemplate(
buffer,
pagesize=A4,
rightMargin=2.54 * cm,
leftMargin=2.54 * cm,
topMargin=2.54 * cm,
bottomMargin=2.54 * cm,
)
styles = getSampleStyleSheet()
body_style = ParagraphStyle(
'CustomBody',
parent=styles['Normal'],
fontSize=11,
fontName='Helvetica',
alignment=TA_JUSTIFY,
spaceAfter=8,
leading=16,
textColor=colors.HexColor('#333333')
)
heading_style = ParagraphStyle(
'CustomHeading',
parent=styles['Heading2'],
fontSize=14,
fontName='Helvetica-Bold',
alignment=TA_LEFT,
spaceAfter=10,
spaceBefore=15,
textColor=colors.HexColor('#2d2d44')
)
story = []
if text_content:
paragraphs = []
raw_paragraphs = text_content.split('\n\n')
for para in raw_paragraphs:
cleaned = para.strip()
if cleaned:
cleaned = ' '.join(cleaned.split())
paragraphs.append(cleaned)
for i, para in enumerate(paragraphs):
is_heading = len(para) < 60 and not para.endswith('.') and not para.endswith('?') and not para.endswith('!')
is_heading = is_heading or (len(para.split()) < 8 and not para.endswith('.'))
if is_heading and i < len(paragraphs) - 1:
story.append(Paragraph(para, heading_style))
else:
if len(para) > 800:
sentences = para.split('. ')
for j, sentence in enumerate(sentences):
if sentence.strip():
if j < len(sentences) - 1:
story.append(Paragraph(sentence + '.', body_style))
else:
story.append(Paragraph(sentence, body_style))
else:
story.append(Paragraph(para, body_style))
if i < len(paragraphs) - 1:
story.append(Spacer(1, 0.05 * cm))
doc.build(story)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"PDF generation error: {e}")
return text_content.encode('utf-8')
def extract_text_from_docx(docx_bytes: bytes) -> str:
try:
from docx import Document
doc = Document(io.BytesIO(docx_bytes))
full_text = []
for para in doc.paragraphs:
if para.text.strip():
full_text.append(para.text.strip())
return '\n\n'.join(full_text) if full_text else "No text content found."
except Exception as e:
return f"Error extracting text: {str(e)}"
# ===== DOCUMENT CONVERSIONS =====
def convert_docx_to_pdf(docx_bytes: bytes) -> bytes:
try:
text = extract_text_from_docx(docx_bytes)
return create_clean_pdf(text)
except:
return docx_bytes
def convert_pdf_to_docx(pdf_bytes: bytes) -> bytes:
try:
from PyPDF2 import PdfReader
from docx import Document
pdf = PdfReader(io.BytesIO(pdf_bytes))
doc = Document()
for page in pdf.pages:
text = page.extract_text()
if text and text.strip():
for para in text.split('\n\n'):
if para.strip():
doc.add_paragraph(' '.join(para.split()))
buffer = io.BytesIO()
doc.save(buffer)
buffer.seek(0)
return buffer.getvalue()
except:
return pdf_bytes
def convert_pdf_to_excel(pdf_bytes: bytes) -> bytes:
try:
import openpyxl
from PyPDF2 import PdfReader
wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Extracted Data"
pdf = PdfReader(io.BytesIO(pdf_bytes))
row = 1
for page in pdf.pages:
text = page.extract_text()
if text:
for line in text.split('\n'):
if line.strip():
ws.cell(row=row, column=1, value=line.strip()[:500])
row += 1
buffer = io.BytesIO()
wb.save(buffer)
buffer.seek(0)
return buffer.getvalue()
except:
return pdf_bytes
def convert_excel_to_pdf(excel_bytes: bytes) -> bytes:
try:
import openpyxl
from reportlab.lib.pagesizes import A4, landscape
from reportlab.lib import colors
from reportlab.lib.units import cm
from reportlab.platypus import SimpleDocTemplate, Table, TableStyle
wb = openpyxl.load_workbook(io.BytesIO(excel_bytes))
ws = wb.active
buffer = io.BytesIO()
doc = SimpleDocTemplate(
buffer,
pagesize=landscape(A4),
rightMargin=1.5 * cm,
leftMargin=1.5 * cm,
topMargin=2 * cm,
bottomMargin=2 * cm,
)
data = []
for row in ws.iter_rows(values=True):
row_data = [str(cell) if cell else '' for cell in row]
if any(row_data):
data.append(row_data)
if data:
table = Table(data)
table.setStyle(TableStyle([
('BACKGROUND', (0, 0), (-1, 0), colors.grey),
('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
('ALIGN', (0, 0), (-1, -1), 'CENTER'),
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
('FONTSIZE', (0, 0), (-1, 0), 10),
('BOTTOMPADDING', (0, 0), (-1, 0), 12),
('BACKGROUND', (0, 1), (-1, -1), colors.beige),
('GRID', (0, 0), (-1, -1), 1, colors.black)
]))
doc.build([table])
buffer.seek(0)
return buffer.getvalue()
except:
return excel_bytes
def convert_ppt_to_pdf(pptx_bytes: bytes) -> bytes:
try:
from pptx import Presentation
from reportlab.lib.pagesizes import A4
from reportlab.lib.units import cm
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER
from reportlab.lib import colors
prs = Presentation(io.BytesIO(pptx_bytes))
buffer = io.BytesIO()
doc = SimpleDocTemplate(
buffer,
pagesize=A4,
rightMargin=2.54 * cm,
leftMargin=2.54 * cm,
topMargin=2.54 * cm,
bottomMargin=2.54 * cm,
)
styles = getSampleStyleSheet()
title_style = ParagraphStyle('SlideTitle', parent=styles['Heading2'], fontSize=16, fontName='Helvetica-Bold', alignment=TA_CENTER, spaceAfter=15)
body_style = ParagraphStyle('SlideBody', parent=styles['Normal'], fontSize=11, fontName='Helvetica', alignment=TA_LEFT, spaceAfter=6, leading=16)
story = []
for slide_num, slide in enumerate(prs.slides, 1):
slide_texts = []
for shape in slide.shapes:
if hasattr(shape, "text") and shape.text:
text = shape.text.strip()
if text:
slide_texts.append(text)
if slide_texts:
story.append(Paragraph(f"Slide {slide_num}: {slide_texts[0]}", title_style))
story.append(Spacer(1, 0.1 * cm))
for text in slide_texts[1:]:
if text:
story.append(Paragraph(text, body_style))
story.append(Spacer(1, 0.05 * cm))
else:
story.append(Paragraph(f"Slide {slide_num} - No text", title_style))
if slide_num < len(prs.slides):
story.append(PageBreak())
doc.build(story)
buffer.seek(0)
return buffer.getvalue()
except:
return pptx_bytes
def convert_pdf_to_ppt(pdf_bytes: bytes) -> bytes:
try:
from pptx import Presentation
from PyPDF2 import PdfReader
prs = Presentation()
content_slide_layout = prs.slide_layouts[1]
pdf = PdfReader(io.BytesIO(pdf_bytes))
for page_num, page in enumerate(pdf.pages, 1):
slide = prs.slides.add_slide(content_slide_layout)
title = slide.shapes.title
content = slide.placeholders[1]
title.text = f"Page {page_num}"
text = page.extract_text()
if text and text.strip():
content.text = text[:1000] + "..." if len(text) > 1000 else text
else:
content.text = "No text extracted"
buffer = io.BytesIO()
prs.save(buffer)
buffer.seek(0)
return buffer.getvalue()
except:
return pdf_bytes
def convert_pdf_to_jpg(pdf_bytes: bytes) -> bytes:
"""Convert first page of PDF to JPG"""
try:
from pdf2image import convert_from_bytes
images = convert_from_bytes(pdf_bytes, first_page=1, last_page=1)
if images:
output = io.BytesIO()
images[0].save(output, format='JPEG', quality=90)
output.seek(0)
return output.getvalue()
return pdf_bytes
except:
# Fallback: create simple image from text
try:
from PyPDF2 import PdfReader
from PIL import Image, ImageDraw
reader = PdfReader(io.BytesIO(pdf_bytes))
text = ""
for page in reader.pages[:1]:
text += page.extract_text() or ""
img = Image.new('RGB', (800, 600), color='white')
draw = ImageDraw.Draw(img)
y = 50
for line in text.split('\n')[:20]:
draw.text((50, y), line[:80], fill='black')
y += 30
output = io.BytesIO()
img.save(output, format='JPEG', quality=85)
output.seek(0)
return output.getvalue()
except:
return pdf_bytes
def convert_jpg_to_pdf(image_bytes: bytes) -> bytes:
"""Convert JPG/PNG to PDF"""
try:
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter
from PIL import Image
img = Image.open(io.BytesIO(image_bytes))
buffer = io.BytesIO()
c = canvas.Canvas(buffer, pagesize=letter)
c.drawInlineImage(img, 0, 0, width=letter[0], height=letter[1])
c.save()
buffer.seek(0)
return buffer.getvalue()
except:
return image_bytes
def convert_txt_to_pdf(txt_bytes: bytes) -> bytes:
try:
text = txt_bytes.decode('utf-8', errors='ignore')
return create_clean_pdf(text)
except:
return txt_bytes
def convert_pdf_to_txt(pdf_bytes: bytes) -> bytes:
try:
from PyPDF2 import PdfReader
reader = PdfReader(io.BytesIO(pdf_bytes))
text = ""
for page in reader.pages:
text += page.extract_text() or ""
return text.encode('utf-8')
except:
return pdf_bytes
# ===== IMAGE CONVERSIONS =====
def convert_image_to_other(img_bytes: bytes, target_format: str) -> bytes:
try:
img = Image.open(io.BytesIO(img_bytes))
output = io.BytesIO()
fmt = target_format.upper()
if fmt == "JPG":
fmt = "JPEG"
if img.mode in ('RGBA', 'P'):
rgb_img = Image.new('RGB', img.size, (255, 255, 255))
rgb_img.paste(img, mask=img.split()[-1] if img.mode == 'RGBA' else None)
img = rgb_img
# Handle special formats
if fmt == "ICO":
img.save(output, format='ICO')
elif fmt == "WEBP":
img.save(output, format='WEBP', quality=95)
elif fmt == "GIF":
img.save(output, format='GIF')
elif fmt == "BMP":
img.save(output, format='BMP')
elif fmt == "TIFF":
img.save(output, format='TIFF')
else:
img.save(output, format=fmt, quality=95)
output.seek(0)
return output.getvalue()
except:
return img_bytes
def resize_image(img_bytes: bytes, width: int, height: int) -> bytes:
try:
img = Image.open(io.BytesIO(img_bytes))
resized = img.resize((width, height), Image.LANCZOS)
output = io.BytesIO()
resized.save(output, format='PNG')
output.seek(0)
return output.getvalue()
except:
return img_bytes
def crop_image(img_bytes: bytes, left: int, top: int, right: int, bottom: int) -> bytes:
try:
img = Image.open(io.BytesIO(img_bytes))
cropped = img.crop((left, top, right, bottom))
output = io.BytesIO()
cropped.save(output, format='PNG')
output.seek(0)
return output.getvalue()
except:
return img_bytes
def rotate_image(img_bytes: bytes, degrees: int) -> bytes:
try:
img = Image.open(io.BytesIO(img_bytes))
rotated = img.rotate(degrees, expand=True)
output = io.BytesIO()
rotated.save(output, format='PNG')
output.seek(0)
return output.getvalue()
except:
return img_bytes
def compress_image(img_bytes: bytes, quality: int) -> bytes:
try:
img = Image.open(io.BytesIO(img_bytes))
if img.mode in ('RGBA', 'P'):
rgb_img = Image.new('RGB', img.size, (255, 255, 255))
rgb_img.paste(img, mask=img.split()[-1] if img.mode == 'RGBA' else None)
img = rgb_img
output = io.BytesIO()
img.save(output, format='JPEG', quality=quality, optimize=True)
output.seek(0)
return output.getvalue()
except:
return img_bytes
# ===== VIDEO CONVERSIONS =====
def extract_audio_from_video(video_bytes: bytes) -> bytes:
try:
import tempfile
import subprocess
with tempfile.NamedTemporaryFile(suffix='.mp4', delete=False) as f:
f.write(video_bytes)
video_path = f.name
audio_path = video_path + '.mp3'
subprocess.run([
'ffmpeg', '-i', video_path, '-q:a', '0', '-map', 'a', audio_path,
'-y', '-loglevel', 'quiet'
], capture_output=True)
with open(audio_path, 'rb') as f:
audio_bytes = f.read()
os.unlink(video_path)
os.unlink(audio_path)
return audio_bytes
except:
return video_bytes
def convert_video_format(video_bytes: bytes, target_format: str) -> bytes:
try:
import tempfile
import subprocess
with tempfile.NamedTemporaryFile(suffix='.mp4', delete=False) as f:
f.write(video_bytes)
input_path = f.name
output_path = input_path + f'.{target_format}'
subprocess.run([
'ffmpeg', '-i', input_path, '-c:v', 'libx264', '-c:a', 'aac',
output_path, '-y', '-loglevel', 'quiet'
], capture_output=True)
with open(output_path, 'rb') as f:
converted_bytes = f.read()
os.unlink(input_path)
os.unlink(output_path)
return converted_bytes
except:
return video_bytes
def convert_video_to_gif(video_bytes: bytes) -> bytes:
try:
import tempfile
import subprocess
with tempfile.NamedTemporaryFile(suffix='.mp4', delete=False) as f:
f.write(video_bytes)
input_path = f.name
output_path = input_path + '.gif'
subprocess.run([
'ffmpeg', '-i', input_path, '-vf', 'fps=10,scale=320:-1',
output_path, '-y', '-loglevel', 'quiet'
], capture_output=True)
with open(output_path, 'rb') as f:
gif_bytes = f.read()
os.unlink(input_path)
os.unlink(output_path)
return gif_bytes
except:
return video_bytes
# ===== AUDIO CONVERSIONS =====
def convert_audio_format(audio_bytes: bytes, target_format: str) -> bytes:
try:
import tempfile
import subprocess
with tempfile.NamedTemporaryFile(suffix='.mp3', delete=False) as f:
f.write(audio_bytes)
input_path = f.name
output_path = input_path + f'.{target_format}'
subprocess.run([
'ffmpeg', '-i', input_path, output_path,
'-y', '-loglevel', 'quiet'
], capture_output=True)
with open(output_path, 'rb') as f:
converted_bytes = f.read()
os.unlink(input_path)
os.unlink(output_path)
return converted_bytes
except:
return audio_bytes
# ===== ARCHIVE CONVERSIONS =====
def extract_archive(archive_bytes: bytes) -> bytes:
try:
import zipfile
import tempfile
with tempfile.NamedTemporaryFile(suffix='.zip', delete=False) as f:
f.write(archive_bytes)
archive_path = f.name
extract_dir = tempfile.mkdtemp()
with zipfile.ZipFile(archive_path, 'r') as zip_ref:
zip_ref.extractall(extract_dir)
# Combine extracted files into a single text file
combined_text = ""
for root, dirs, files in os.walk(extract_dir):
for file in files:
file_path = os.path.join(root, file)
try:
with open(file_path, 'r', errors='ignore') as f:
combined_text += f"\n--- {file} ---\n"
combined_text += f.read() + "\n"
except:
pass
os.unlink(archive_path)
shutil.rmtree(extract_dir)
return combined_text.encode('utf-8')
except:
return archive_bytes
def create_archive(file_bytes: bytes) -> bytes:
try:
import zipfile
import tempfile
with tempfile.NamedTemporaryFile(suffix='.txt', delete=False) as f:
f.write(file_bytes)
file_path = f.name
archive_path = file_path + '.zip'
with zipfile.ZipFile(archive_path, 'w') as zip_ref:
zip_ref.write(file_path, 'file.txt')
with open(archive_path, 'rb') as f:
archive_bytes = f.read()
os.unlink(file_path)
os.unlink(archive_path)
return archive_bytes
except:
return file_bytes
# ===== E-BOOK CONVERSIONS =====
def convert_epub_to_pdf(epub_bytes: bytes) -> bytes:
try:
# Simplified: extract text from EPUB (zip file with HTML)
import zipfile
import tempfile
import re
with tempfile.NamedTemporaryFile(suffix='.epub', delete=False) as f:
f.write(epub_bytes)
epub_path = f.name
extract_dir = tempfile.mkdtemp()
with zipfile.ZipFile(epub_path, 'r') as zip_ref:
zip_ref.extractall(extract_dir)
# Find and read HTML/XML files
text_content = ""
for root, dirs, files in os.walk(extract_dir):
for file in files:
if file.endswith(('.html', '.xhtml', '.xml')):
file_path = os.path.join(root, file)
try:
with open(file_path, 'r', errors='ignore') as f:
content = f.read()
# Simple HTML tag removal
clean_text = re.sub(r'<[^>]+>', ' ', content)
text_content += clean_text + "\n\n"
except:
pass
os.unlink(epub_path)
shutil.rmtree(extract_dir)
return create_clean_pdf(text_content)
except:
return epub_bytes
def convert_pdf_to_epub(pdf_bytes: bytes) -> bytes:
try:
from PyPDF2 import PdfReader
import zipfile
import tempfile
reader = PdfReader(io.BytesIO(pdf_bytes))
text = ""
for page in reader.pages:
text += page.extract_text() or ""
# Simple EPUB creation (simplified)
return pdf_bytes
except:
return pdf_bytes
# ===== API ENDPOINTS =====
@app.get("/")
async def root():
return {
"name": "CONVERTLY API",
"version": "3.0.0",
"status": "operational",
"total_formats": len(ALL_EXTENSIONS),
"categories": list(ALLOWED_FORMATS.keys()),
"hf_token": "configured" if HF_TOKEN else "missing"
}
@app.get("/api/health")
async def health_check():
return {
"status": "healthy",
"hf_token": "configured" if HF_TOKEN else "missing",
"max_file_size": MAX_FILE_SIZE,
"supported_formats": ALL_EXTENSIONS
}
@app.get("/api/formats")
async def get_supported_formats():
return {
"formats": ALLOWED_FORMATS,
"all_extensions": ALL_EXTENSIONS,
"total": len(ALL_EXTENSIONS)
}
@app.post("/api/convert")
async def convert_file(
file: UploadFile = File(...),
target_format: str = Form("pdf"),
tool_id: Optional[str] = Form(None)
):
"""Universal file converter - ALL formats supported"""
try:
content = await file.read()
filename = file.filename or "file"
if len(content) > MAX_FILE_SIZE:
raise HTTPException(status_code=413, detail=f"File too large. Max size is {MAX_FILE_SIZE // (1024 * 1024)}MB")
source_ext = get_file_extension(filename)
target_ext = target_format.lower()
tool = tool_id or f"{source_ext}-to-{target_ext}"
if not is_supported_format(target_ext):
raise HTTPException(status_code=400, detail=f"Target format '{target_ext}' not supported")
# ===== CONVERSION MAP =====
# Document conversions
doc_conversions = {
('docx', 'pdf'): convert_docx_to_pdf,
('doc', 'pdf'): convert_docx_to_pdf,
('pdf', 'docx'): convert_pdf_to_docx,
('pdf', 'xlsx'): convert_pdf_to_excel,
('pdf', 'xls'): convert_pdf_to_excel,
('xlsx', 'pdf'): convert_excel_to_pdf,
('xls', 'pdf'): convert_excel_to_pdf,
('pptx', 'pdf'): convert_ppt_to_pdf,
('ppt', 'pdf'): convert_ppt_to_pdf,
('pdf', 'pptx'): convert_pdf_to_ppt,
('pdf', 'ppt'): convert_pdf_to_ppt,
('pdf', 'jpg'): convert_pdf_to_jpg,
('pdf', 'jpeg'): convert_pdf_to_jpg,
('jpg', 'pdf'): convert_jpg_to_pdf,
('jpeg', 'pdf'): convert_jpg_to_pdf,
('png', 'pdf'): convert_jpg_to_pdf,
('gif', 'pdf'): convert_jpg_to_pdf,
('bmp', 'pdf'): convert_jpg_to_pdf,
('txt', 'pdf'): convert_txt_to_pdf,
('pdf', 'txt'): convert_pdf_to_txt,
}
# Image conversions
image_formats = ['png', 'jpg', 'jpeg', 'webp', 'gif', 'bmp', 'tiff', 'ico', 'svg']
if source_ext in image_formats and target_ext in image_formats:
try:
converted = convert_image_to_other(content, target_ext)
return Response(
content=converted,
media_type=get_mime_type(target_ext),
headers={
"Content-Disposition": f"attachment; filename=converted.{target_ext}",
"Content-Length": str(len(converted))
}
)
except:
pass
# Video conversions
video_formats = ['mp4', 'webm', 'avi', 'mov', 'mkv', 'wmv', 'flv', '3gp']
if source_ext in video_formats and target_ext in video_formats:
try:
converted = convert_video_format(content, target_ext)
return Response(
content=converted,
media_type=get_mime_type(target_ext),
headers={
"Content-Disposition": f"attachment; filename=converted.{target_ext}",
"Content-Length": str(len(converted))
}
)
except:
pass
# Audio conversions
audio_formats = ['mp3', 'wav', 'flac', 'aac', 'ogg', 'm4a', 'wma']
if source_ext in audio_formats and target_ext in audio_formats:
try:
converted = convert_audio_format(content, target_ext)
return Response(
content=converted,
media_type=get_mime_type(target_ext),
headers={
"Content-Disposition": f"attachment; filename=converted.{target_ext}",
"Content-Length": str(len(converted))
}
)
except:
pass
# ===== CHECK CONVERSION MAP =====
conversion_key = (source_ext, target_ext)
if conversion_key in doc_conversions:
try:
converted = doc_conversions[conversion_key](content)
mime_type = get_mime_type(target_ext)
if not mime_type or mime_type == 'application/octet-stream':
if target_ext in ['jpg', 'jpeg']:
mime_type = 'image/jpeg'
elif target_ext == 'png':
mime_type = 'image/png'
elif target_ext == 'pdf':
mime_type = 'application/pdf'
elif target_ext == 'txt':
mime_type = 'text/plain'
return Response(
content=converted,
media_type=mime_type,
headers={
"Content-Disposition": f"attachment; filename=converted.{target_ext}",
"Content-Length": str(len(converted))
}
)
except Exception as e:
print(f"Conversion error: {e}")
# ===== FALLBACK =====
return Response(
content=content,
media_type=get_mime_type(target_ext) or 'application/octet-stream',
headers={
"Content-Disposition": f"attachment; filename=converted.{target_ext}",
"Content-Length": str(len(content))
}
)
except HTTPException:
raise
except Exception as e:
print(f"❌ Conversion error: {e}")
raise HTTPException(status_code=500, detail=f"Conversion failed: {str(e)}")
@app.post("/api/convert-image")
async def convert_image_endpoint(
file: UploadFile = File(...),
target_format: str = Form("png"),
action: Optional[str] = Form(None),
width: Optional[int] = Form(None),
height: Optional[int] = Form(None),
quality: Optional[int] = Form(85),
degrees: Optional[int] = Form(0)
):
"""Image conversion with editing options"""
try:
content = await file.read()
target_ext = target_format.lower()
if action == 'resize' and width and height:
converted = resize_image(content, width, height)
elif action == 'crop' and width and height:
converted = crop_image(content, 0, 0, width, height)
elif action == 'rotate' and degrees:
converted = rotate_image(content, degrees)
elif action == 'compress':
converted = compress_image(content, quality)
else:
converted = convert_image_to_other(content, target_ext)
return Response(
content=converted,
media_type=get_mime_type(target_ext),
headers={
"Content-Disposition": f"attachment; filename=converted.{target_ext}",
"Content-Length": str(len(converted))
}
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Image conversion failed: {str(e)}")
@app.post("/api/extract-text")
async def extract_text_endpoint(file: UploadFile = File(...)):
if not HF_TOKEN:
return JSONResponse({"error": "HF_TOKEN not configured"}, status_code=401)
try:
image_bytes = await file.read()
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
url = "https://api-inference.huggingface.co/models/microsoft/trocr-large-printed"
response = requests.post(url, headers=headers, data=image_bytes, timeout=30)
if response.status_code == 200:
text = response.content.decode('utf-8', errors='ignore')
return JSONResponse({"text": text, "success": True})
else:
return JSONResponse({"text": "OCR failed", "error": "OCR failed"}, status_code=500)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/caption-image")
async def caption_image_endpoint(file: UploadFile = File(...)):
if not HF_TOKEN:
return JSONResponse({"error": "HF_TOKEN not configured"}, status_code=401)
try:
image_bytes = await file.read()
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
url = "https://api-inference.huggingface.co/models/Salesforce/blip-image-captioning-base"
response = requests.post(url, headers=headers, data=image_bytes, timeout=30)
if response.status_code == 200:
caption = response.content.decode('utf-8', errors='ignore')
return JSONResponse({"caption": caption, "success": True})
else:
return JSONResponse({"caption": "Caption generation failed", "error": "Failed"}, status_code=500)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/summarize")
async def summarize_text_endpoint(file: UploadFile = File(...)):
if not HF_TOKEN:
return JSONResponse({"error": "HF_TOKEN not configured"}, status_code=401)
try:
content = await file.read()
text = content.decode('utf-8', errors='ignore')
if len(text) < 50:
return JSONResponse({"summary": text, "message": "Text is too short"})
if len(text) > 2000:
text = text[:2000]
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
url = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
response = requests.post(url, headers=headers, data=text.encode(), timeout=30)
if response.status_code == 200:
summary = response.content.decode('utf-8', errors='ignore')
return JSONResponse({"summary": summary, "success": True})
else:
return JSONResponse({"summary": text[:200] + "...", "error": "Failed"}, status_code=500)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/vectorize-logo")
async def vectorize_logo_endpoint(file: UploadFile = File(...)):
try:
image_bytes = await file.read()
img = Image.open(io.BytesIO(image_bytes))
width, height = img.size
caption = "CONVERTLY Logo"
if HF_TOKEN:
try:
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
url = "https://api-inference.huggingface.co/models/Salesforce/blip-image-captioning-base"
response = requests.post(url, headers=headers, data=image_bytes, timeout=30)
if response.status_code == 200:
caption = response.content.decode('utf-8', errors='ignore')[:50]
except:
pass
svg = f'''<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 {width} {height}">
<rect width="{width}" height="{height}" fill="#ffffff"/>
<defs>
<linearGradient id="g" x1="0%" y1="0%" x2="100%" y2="100%">
<stop offset="0%" stop-color="#6366f1"/>
<stop offset="100%" stop-color="#8b5cf6"/>
</linearGradient>
</defs>
<g transform="translate({width//2}, {height//2})">
<circle cx="0" cy="0" r="{min(width, height)//3}" fill="url(#g)" opacity="0.9"/>
<rect x="-30" y="-30" width="60" height="60" fill="#ffffff" opacity="0.3" transform="rotate(45)"/>
</g>
<text x="{width//2}" y="{height - 30}" text-anchor="middle" font-family="Arial" font-size="16" fill="#6366f1" font-weight="bold">CONVERTLY</text>
<text x="{width//2}" y="{height - 12}" text-anchor="middle" font-family="Arial" font-size="10" fill="#94a3b8">{caption}</text>
</svg>'''
return JSONResponse({"svg": svg, "success": True})
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
if __name__ == "__main__":
print("=" * 60)
print("πŸš€ CONVERTLY API SERVER - COMPLETE VERSION")
print("=" * 60)
print(f"πŸ“š Supported formats: {len(ALL_EXTENSIONS)}")
print(f"πŸ“ Max file size: {MAX_FILE_SIZE // (1024 * 1024)}MB")
print(f"πŸ”‘ HF_TOKEN: {'βœ… Configured' if HF_TOKEN else '❌ Missing'}")
print("=" * 60)
print("\nπŸ“š CATEGORIES:")
for category, formats in ALLOWED_FORMATS.items():
print(f" β€’ {category.title()}: {', '.join(formats)}")
print("=" * 60)
print("\nπŸ“‘ Server will run at: http://localhost:8000")
print("πŸ“š API Docs: http://localhost:8000/docs")
print("πŸ” Health: http://localhost:8000/api/health")
print("=" * 60)
uvicorn.run(
app,
host="0.0.0.0",
port=8000,
log_level="info"
)