document-narration-workflows

To convert a PDF to narrated audio, the workflow extracts text from the document, cleans it for natural speech readability, generates TTS output with a selected voice, and returns the final audio artifact with its file path.

Yes, you can use local PDFs for text extraction and voiceover generation. The workflow applies to local documents, processing them end-to-end to produce clean narration text and accompanying listenable TTS audio files.

The TTS generation process includes a fallback to gTTS when needed. It applies voice selection during generation and performs verification to ensure the extracted text produces a reliable, listenable audio artifact.

The best way to clean extracted PDF text for natural speech is through the workflow's dedicated text cleaning stage. This process removes formatting artifacts from the extracted document content, ensuring the resulting TTS narration sounds natural and is easily readable.

You need a specific environment setup to extract text from PDFs for narration. The workflow satisfies end-to-end text extraction via a Hermes venv, which enables the subsequent text cleaning, TTS generation, and audio artifact return processes.

A limitation when turning documents into TTS audio is that the workflow depends on successful text extraction from the source PDF. If the document content cannot be extracted properly, the subsequent text cleaning and voice generation stages cannot produce the listenable audio artifact.