Scan or upload clippings, attach audio, pull social posts by handle + hashtag + date range, analyse sentiment & keywords, then export a Word (.docx) report – all in the browser.
These keywords will be tracked across all scanned documents, audio transcripts and social posts. The AI layer counts mentions per keyword and attaches sentiment.
Upload scans (JPG/PNG) or digital documents (PDF, Word, Excel, text). Images go through OCR; digital files are read directly and fed into the same AI sentiment + keyword engine.
Upload radio/TV clips, podcasts or other audio. For each clip, paste or pipe a transcript from your speech-to-text backend or studio logs. The same AI engine runs sentiment + keyword stats.
Aggregated keyword-level view across all processed documents, audio transcripts and social posts: mentions, documents containing, sentiment breakdown and an example snippet. Export everything into a Word file for tender-style reporting.
| Keyword | Total Mentions | Documents Containing | Positive | Neutral | Negative | Top Example (snippet) |
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The system will query posts for the selected agent handles (online magazines, social media pages, websites) over the chosen date range using the selected hashtags/keywords. In live mode this talks to real APIs; in demo mode it returns sample data.