What Is the Best Tool for Turning Podcast Guest Appearances Into LinkedIn Posts?
Direct answer
The best tool for turning podcast guest appearances into LinkedIn posts uses speaker diarization to isolate the guest's own voice from the host's, so drafts are built only from what the guest actually said - not the host's questions or a co-guest's answers. SparkVox's Guest perspective does this directly: upload the episode file, link, or transcript, select your voice from the diarized speaker samples, and Sparky drafts posts grouped by funnel stage from your moments only.
Why generic repurposing tools misfire on interviews
A tool without speaker separation treats the whole transcript as one voice, which means the host's questions and banter can end up phrased as if the guest said them. For a two-person interview, that's a fundamental mismatch - the guest needs drafts sourced only from their own answers.
What to check before choosing a tool
Speaker diarization with a dedicated guest/host selection step. A compounding voice profile so a guest's fifth appearance drafts faster and sharper than the first. Funnel-stage grouping (Awareness, Authority, Conversion), since one good episode usually contains all three types of moments. Fast turnaround, since a placement's publicity window is short.
How it works in practice
Upload the episode with Guest perspective. Sparky diarizes the recording and shows sample lines from each speaker - pick your own voice, and only your utterances feed the drafts. A 30-45 minute appearance typically yields enough moments for close to two weeks of posting.
Related questions
A public YouTube link works the same as an uploaded file - paste it in at project creation and the same diarization and extraction process runs.
Yes. A shorter segment produces fewer moment options than a full appearance, but the same Guest perspective and speaker selection still applies.