Launching today
VocalVia
Turn documents and articles into editable multi-voice audio
63 followers
Turn documents and articles into editable multi-voice audio
63 followers
VocalVia turns PDFs, Word files, Markdown, web articles, and pasted text into structured outlines, editable podcast scripts, and natural multi-voice audio. Choose speakers and voices, refine individual segments, then export the finished audio. It is built for saved reading, study notes, research papers, and long-form content you want to listen to away from a screen.
VocalVia
@Zoey Congrats on the launch of VocalVia! š Solving the "saved articles I never actually read" problem by turning them into editable multi-voice podcasts is brilliant.
Quick question on handling complex structures: when processing dense documents (like 30+ page research papers with heavy inline citations, tables, or math code), how clean is the initial script translation? Does it automatically distill complex tables into natural conversation, or do you find users usually need to manually edit those segments first?
The multi-voice part caught my eye. When VocalVia turns a document or article into audio, how much control does the user get over which sections use which voice? For example, can someone mark quotes, headings, or different speakers before generation, or is that handled automatically? Since the tagline mentions editable audio, Iām also curious whether edits happen at the text level, the timeline level, or both.
Hey! Editable scripts before audio generation is the part most TTS tools skip, and it's the part that matters. Does it keep speaker assignments stable when you re-edit a segment, or does the outline regenerate?
Finally tried it on a 40-page research paper and the multi-voice narration actually makes the dense sections easier to follow than my usual text-to-speech. Editing individual segments before export is a nice touch too.
A timeline or chapter marker system would be really useful so I can jump back to a specific section in long papers without rewinding through the whole audio.
Dropped a 40-page research paper in and got a pretty clean two-host audio rundown in a few minutes. Editing individual segments before export is a nice touch, especially for cleaning up citations.