Prices are checked against each store and labelled with when.
It checks today's price at every store, compares the alternatives and answers in about a minute.
This is an n8n workflow that turns a PDF into a two-host podcast episode in nine Indian languages: Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati and Punjabi. It extracts the text, has GPT-5 write a structured dialogue script, then synthesizes each turn with Smallest AI's Lightning V3.1 engine at 24kHz and stitches the WAV chunks into one file that is emailed to you. It suits teams and creators who already run n8n and want audio briefings in Indian languages without recording. Compared with manual recording or single-voice text-to-speech tools, it adds a scripted two-host format and native-language voices, but it depends on paid API keys and a working n8n instance.
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This is an n8n workflow that turns a PDF into a two-host podcast episode in one of 9 Indian languages: Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati and Punjabi. It produces NotebookLM-style audio briefings using Smallest AI's Lightning V3.1 engine. Voice cloning is optional.
The workflow starts when a PDF is uploaded through a form trigger. It extracts the text and sends it to GPT-5, which writes a structured two-host conversation script in JSON format. Each dialogue turn goes to the matching host's text-to-speech branch, where Smallest AI Lightning generates 24kHz audio with sub-100ms latency. A custom Code node then joins all the WAV chunks into a single podcast file in conversational order and emails the finished audio to the address you specify.
The audio is joined with pure JavaScript, so the workflow does not need FFmpeg and works on n8n Cloud. Voice cloning needs a 10-second audio sample to cast yourself or colleagues as hosts. A 5-page PDF produces a 4-minute podcast in roughly 60 seconds. It can be used for company memos and reports, lecture notes and research papers, whitepapers and blog drafts, or training documentation.