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    Podcast-to-social video clipping (hybrid AI + human)
    Freemium
    Free Trial
    Sponsored

    Audiolabs

    Podcast-to-social video clipping (hybrid AI + human)

    Audiolabs today is best understood as Fame Clips: a hybrid AI-and-human service that turns long-form podcast episodes into short social clips optimised for LinkedIn, X, and YouTube Shorts. You upload episodes; human editors (assisted by AI moment detection) deliver clips in ~72 hours with unlimited revisions. It is a managed service, not a DIY SaaS like Opus Clip.

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    Features & details

    Full overview from our catalog (read-only reference).

    Category (short)
    Podcast-to-social video clipping (hybrid AI + human)
    Category
    Podcast-to-social video clipping (hybrid AI + human)
    Pricing (CSV)
    Free Trial
    Directory pricing
    Freemium
    Sponsored note
    no
    Target audience
    B2B companies with existing podcast throughput, Marketing teams prioritising quality over DIY speed, Agencies clipping several shows under one account, Budgets that compare against freelance editors, not $5 AI tools, Not ideal for: solo creators on tight budgets or DIY users wanting instant AI-only clips.
    Best for
    B2B companies with existing podcast throughput, Marketing teams prioritising quality over DIY speed, Agencies clipping several shows under one account, Budgets that compare against freelance editors, not $5 AI tools, Not ideal for: solo creators on tight budgets or DIY users wanting instant AI-only clips.
    Pricing notes
    Verified from audiolabs.io / third-party Fame Clips listings (2026): Plan — Price — Clips/mo Business — $700/mo — 15 Professional — $1,000/mo — 25 Ultimate — $2,350/mo — 60 Effective per clip: ~$40–47 at Business tier; vendor marketing cites ~$50/clip. Free trial: Signup at clips.fame.so — confirm current trial terms. Legacy pricing: Older $4.99/$19.99 self-serve tiers should be considered deprecated.

    Pros & cons

    Editorial notes to help compare fit before opening the vendor site.

    Pros

    • Higher quality bar than AI-only clippers (vendor claim: 30× views vs AI-only)
    • Unlimited revisions reduce brand risk
    • Multi-show brand kits for agencies
    • Predictable monthly clip quota
    • Human QA for B2B-safe publishing

    Cons

    • High entry price ($700/mo minimum published tier)
    • 72-hour turnaround vs instant AI tools
    • Not self-serve DIY for quick experiments
    • Original cheap Audiolabs plans no longer apply
    • ROI depends on consistent podcast output

    Review notes

    Context from the listing review and editorial research.

    Overall market reception: Positive among B2B podcast agencies; sticker shock for solo creators. Positioned against Opus/Riverside AI as "quality over automation." Common praise: Clip quality, revision policy, brand consistency, time saved for marketing teams. Common criticisms: Price, turnaround time, no longer a cheap self-serve tool. Ratings: No G2 score found; niche B2B service reviews on blog/ToolFi sources.

    Extended features

    In-depth description and capability notes.

    Hybrid editing — AI moment selection plus human polish (vendor positioning vs AI-only tools). 72-hour turnaround — Standard delivery window (vendor claim). Brand kits — Logos, fonts, colours per show or client. Multi-show support — Multiple brand kits on one subscription (agency use case). Unlimited revisions — Via Fame Clips Studio (vendor claim). Formats — 9:16 vertical and 1:1 square exports.

    Use cases

    Fame Clips fits B2B podcasters treating content as a lead-gen channel, not hobbyists clipping manually. The math works when outsourced clip cost beats a part-time editor. B2B podcast promotion on LinkedIn/X Marketing teams without in-house video editors Agencies managing multiple client shows Founders repurposing interview podcasts Demand-gen programmes needing 3–4 clips per week Professional services firms building thought leadership SaaS companies clipping customer interview series Replacing $250–400/agency clip with ~$50/clip positioning (vendor claim)