Doc to Speech

What It Solves

Document reading relies on visual output, which is inconvenient for commuting, long reading sessions, meeting gaps, or users with visual accessibility needs. This skill converts existing documents into playable MP3 files, turning text from something to read into something to listen to. It is not a live reader window or a video subtitle tool, but a local, file-oriented batch audio generation workflow that works well for turning reports, reference material, and Markdown notes into audio that can be listened to later.

How It Works and Where to Be Careful

The core pipeline is straightforward: extract text from the document, synthesize speech with a TTS engine, and write an audio file. Common inputs include .docx, .pdf, .txt, and .md, and it can also process an entire folder. Text extraction may use docx2txt, pdfplumber, or PyPDF2; synthesis can use offline pyttsx3 or online gTTS. Offline output is fast and network-independent, while online output is usually more natural but depends on connectivity and request limits. Long documents are segmented automatically. Scanned PDFs need OCR first, and complex layouts may yield incomplete text. When using it, check the input path, output path, voice, rate, and language settings, then verify that the MP3 plays correctly and that text is not missing or reordered.