Comparison

SavedThat vs NotebookLM

Both let you ask questions about content you saved. Here's how they actually differ in 2026.

Quick verdict

  • Choose NotebookLM if you do ad-hoc research projects in English, work primarily with PDFs/Docs/long YouTube videos, and want best-in-class Google-built Q&A within a finite set of sources you assemble for a specific topic.
  • Choose SavedThat if you want a persistent personal library across Reels, TikToks, Shorts, and YouTube, you save on mobile via share sheet, and you want search that works the same way in any of 100+ languages.

Side-by-side

FeatureSavedThatNotebookLM
Content sourcesYouTube, Instagram Reels, TikTokYouTube, Google Drive, PDFs, websites (no Instagram, no TikTok)
Library modelOne persistent personal library across all your savesAd-hoc notebooks per topic — you create one per project
Languages100+ languages out of the box, cross-lingual searchStrong in English; other languages supported but English-leaning
Save flowiPhone Share Sheet, Android Share, Chrome extension, paste URLPaste URL or upload — no native share-sheet integration
Mobile appsiOS (closed beta), Android (closed beta), full webWeb-only as of 2026 (no first-party mobile app)
Search typeHybrid: vector + full-text + Reciprocal Rank FusionRAG-style Q&A within the current notebook only
Deep linksCitation links jump to the exact second in the videoCitation links open the source document (timestamps for YouTube)
Privacy modelYour library is private; transcripts indexed per-userYour notebooks are private; processing on Google infra
Pricing7-day free trial, then Pro $7.92/mo or Power $13.59/mo (billed yearly).Free (with usage limits). NotebookLM Plus included in Google AI Premium.
Best forSaving short-form Reels/TikToks/Shorts + long-form, finding laterAd-hoc deep research on a finite set of documents

What NotebookLM does better

What SavedThat does better

Choose NotebookLM if…

  • Your research is in English-language PDFs and Docs
  • You do project-based work with a defined source set
  • You want audio overviews / podcast summaries
  • Your stack is already in Google Workspace
  • You don't need Reels, TikToks, or mobile share sheet

Choose SavedThat if…

  • You save Reels, TikToks, Shorts on your phone constantly
  • You want a single library across all your video saves
  • You search in a language other than English
  • You want a Share Sheet / Share Intent / Chrome extension
  • You hate the «saved 400 videos, can't find one» problem

FAQ

Can I use both NotebookLM and SavedThat together?

Yes, and many users do. They solve different problems — NotebookLM for ad-hoc deep research projects, SavedThat for ongoing personal video library management. They don't conflict.

Does SavedThat support PDFs and Google Docs like NotebookLM?

No. SavedThat is focused on video transcripts (YouTube, Instagram Reels, TikTok). For PDF/Doc research, NotebookLM or other purpose-built tools are better choices.

Is SavedThat's search quality on par with NotebookLM's?

For its specific domain (spoken-word transcripts across short and long video), SavedThat uses hybrid retrieval (vector similarity + full-text search merged via RRF) which is competitive with NotebookLM's retrieval. For document-grounded Q&A on text-heavy sources, NotebookLM is still ahead.

Can I import my NotebookLM sources into SavedThat?

Not currently. NotebookLM doesn't have a public export API. For YouTube sources that overlap, you can paste them into SavedThat individually or use the bulk YouTube Watch Later import (Pro+).

What if I'm not sure which one fits me?

SavedThat starts with a 7-day free trial — card required, cancel anytime — so try it for a week with your usual content. If most of what you save is Reels and TikToks on your phone, SavedThat will fit; if you find yourself wanting to upload PDFs and run multi-source research projects, NotebookLM will fit better.

Try SavedThat free

7-day free trial — cancel anytime before it renews. Works with Reels, TikToks, Shorts, and any YouTube video.

Start your free trial →
SavedThat vs NotebookLM — which to choose for video research?