PDF/Document to Speech Converter

This project is a web-based application built with Flask that converts text from PDF, DOCX, and TXT files to speech using Google Text-to-Speech (gTTS). It also supports language detection and translation, allowing users to select their desired output language for the audio.

Features

• File Upload Support: Upload PDF, DOCX, and TXT files.
• Language Detection: Automatically detects the language of the text.
• Text Translation: If the detected language is different from the selected output language, it translates the text.
• Text-to-Speech (TTS): Converts the uploaded text to speech using gTTS.
• Multiple Languages: Supports multiple languages for text-to-speech conversion.
• Downloadable MP3: After the conversion, users can download the combined MP3 file.
• Chunk-Based Processing: Large texts are processed in chunks to ensure smooth conversion.

Supported File Formats

• PDF
• DOCX
• TXT

Supported Languages

The application supports the following languages for speech synthesis:

• Afrikaans (af)
• Arabic (ar)
• Bengali (bn)
• Bosnian (bs)
• Catalan (ca)
• Czech (cs)
• Welsh (cy)
• Danish (da)
• German (de)
• Greek (el)
• English (en)
• Esperanto (eo)
• Spanish (es)
• Estonian (et)
• Finnish (fi)
• French (fr)
• Gujarati (gu)
• Hindi (hi)
• Croatian (hr)
• Hungarian (hu)
• Armenian (hy)
• Indonesian (id)
• Icelandic (is)
• Italian (it)
• Japanese (ja)
• Javanese (jw)
• Khmer (km)
• Kannada (kn)
• Korean (ko)
• Latin (la)
• Latvian (lv)
• Macedonian (mk)
• Malayalam (ml)
• Marathi (mr)
• Burmese (my)
• Nepali (ne)
• Dutch (nl)
• Norwegian (no)
• Polish (pl)
• Portuguese (pt)
• Romanian (ro)
• Russian (ru)
• Sinhala (si)
• Slovak (sk)
• Albanian (sq)
• Serbian (sr)
• Sundanese (su)
• Swedish (sv)
• Swahili (sw)
• Tamil (ta)
• Telugu (te)
• Thai (th)
• Filipino (tl)
• Turkish (tr)
• Ukrainian (uk)
• Urdu (ur)
• Vietnamese (vi)
• Chinese (zh-CN)

Technology Stack

• Backend: Flask, Python, gTTS, PyMuPDF (for PDF processing), python-docx (for DOCX processing)
• Frontend: HTML, CSS, JavaScript, Bootstrap
• Other Libraries:
  • pydub: For audio manipulation and merging.
  • concurrent.futures: For multi-threaded text-to-speech processing.
  • langdetect: For detecting the language of the uploaded text.
  • googletrans: For translating text to the desired language.

FFmpeg Installation

To enable audio manipulation in this project, FFmpeg is required. You can install FFmpeg using the following commands based on your operating system:

Windows

1. Download FFmpeg from the official website: FFmpeg Downloads
2. Add FFmpeg to your system's PATH environment variable.

macOS

brew install ffmpeg