Deepgrip
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For podcast networks & long-form podcasters

Your back catalogue
finally pays you back.

Two hundred episodes, three hosts, eight languages. Deepgrip makes every line of every episode searchable, citable and clip-ready — so the show keeps earning long after the recording.

Book a demo See the platform

Long-form is expensive to make. Most of it never gets reused.

A two-hour episode holds far more quotable moments than most podcasters ever extract, and the back catalogue gathers dust. Deepgrip keeps every moment retrievable forever — by topic, by guest, by phrase — and lets you cut clips on demand from any episode you ever recorded.

  • Search every line of every episode by topic, guest or exact phrase
  • Cut clips from the moments you find, sized for each platform
  • Translate transcripts to 23 Indian languages and English
  • Find every time a guest said a thing — across the whole back catalogue
  • Generate recaps and summaries of long episodes
  • Reach listeners in languages you do not record in
Episode search

Find any quote across the whole show

Type a phrase, a guest name, a topic. Deepgrip returns every matching moment in every episode — with the surrounding 30 seconds, the speaker who said it, and a deep-link to the timestamp. Build "best of" episodes by query, not by memory.

Full-text + semantic search across the entire back catalogue

Speaker labels for hosts and guests

Search by guest, topic or exact phrase

Export as transcript, SRT, VTT, JSON or shareable link

Episode search

Example

A scientist speaks at a microphone during a NASA science briefing
NASA Kennedy Space Center · Public domain · credits
Queryguest: "Guest name" "leverage"
00:08✓ 14 matching moments across 7 episodes
Build"Guest on leverage" compilation · 9 clips
Full-text + semantic search across the entire back catalogue
Speaker labels for hosts and guests
Auto-clip

Turn one episode into many clips

Deepgrip scores the moments in an episode and cuts the strongest as clips for you to review and choose. Exports are sized for each platform and can carry your brand kit.

Moment scoring to rank clips (1 to 100)

Exports sized for each platform

Caption styles you can choose per clip

Brand kit: logo and colours

Auto-clip

Example

A speaker on stage during a TEDx talk
TEDx Talks · CC BY 3.0 · credits
Source2-hour interview · upload complete
Clips✓ Clips found and ranked for review
ReviewClips ready for your team to review
Moment scoring to rank clips (1 to 100)
Exports sized for each platform
Multilingual reach

One episode, every language

Translate the entire transcript to 23 Indian languages and English with segment-level alignment so subtitles match the cadence. Open new markets without re-recording. A Tamil-language clip from your English episode reaches an audience your show could not before.

Transcript-level + segment-level translation

SRT, VTT and TXT export for any platform

Glossary preservation: keep brand terms and proper nouns intact

AI dubbing for supported language pairs

Multilingual reach

Example

Archival photograph of an early Indian recording session with a gramophone horn
Indian Diplomacy · CC BY 3.0 · credits
SourceEnglish episode 142 · 2h 14m
Translate✓ 8 target languages · segment-aligned
ExportSRT and VTT ready for any platform
Transcript-level + segment-level translation
SRT, VTT and TXT export for any platform

23

Indian languages plus English

Audio + video

Episode formats indexed

Timestamped

Every answer cites its source moment

Sized per platform

Clip exports

Common questions

Does Deepgrip support multilingual podcasts (e.g. Hinglish)?+

Yes. Deepgrip handles mixed-language speech such as Hinglish and Tanglish, and the transcript keeps the original mix.

How long does it take to index a 2-hour episode?+

It depends on the length of the episode and the current load. We show real timings on your own episodes in the demo.

Can I get clips sized for TikTok, Reels, Shorts, X and LinkedIn?+

Yes. Deepgrip produces exports sized for each platform, with the right aspect ratio, caption style and length.

Will my back catalogue be indexed too, or only new episodes?+

Both. You can backfill your existing back catalogue in batches, and it becomes searchable as each episode finishes indexing.

How is this different from Otter or Descript?+

Otter is a meeting transcription tool. Descript is a transcript-based video editor. Deepgrip is a searchable archive: the same transcripts, but indexed across hundreds of episodes, with citation-backed retrieval and clip generation as first-class concepts. We are the layer above hosting and below editing.

Make every episode keep paying off.

Book a demo and bring an episode from last year. We will show you the clips sitting in it, then scope a paid 14-day proof of concept on your back catalogue.

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Deepgrip

AI infrastructure for searchable media archives. Make decades of video searchable, citable and monetisable.

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