Radar by Particle
Search the podcast universe by spoken word, not just titles.
Radar is a niche tool with a clear value proposition for professionals who need to find specific spoken content in podcasts. Its full-text search of episode audio is genuinely unique and well-executed, but the restrictive free tier and lack of API limit its utility for power users. It's a solid choice for journalists, researchers, and marketers, but if you only need basic title search or want an all-in-one podcast platform, you'll be better served by alternatives like Listen Notes or Podchaser.
Verified 2d ago · liveness 72/100 · cite: rightaichoice.com/tools/radar-by-particle
- Journalists and researchers seeking sources
- Podcast enthusiasts who want to revisit specific moments
- Content marketers performing competitive analysis
- Students looking for educational audio references
- Users seeking real-time streaming or playback features
- Podcast creators who need distribution tools
- People who only need basic title-based search
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Skip Radar by Particle if you need a full podcast player, real-time streaming, offline access, or if you're only looking for basic title-based search and aren't willing to pay for advanced search features.
The free plan allows only 5 searches per month, which is quite restrictive for regular use.
Radar's pricing fits professionals who need deep search capabilities and are willing to pay $9/month. For casual users, the free tier is too limited (5 searches/month). Compared to comprehensive podcast platforms like Spotify or Apple Podcasts which are free but lack deep search, or Listen Notes which offers API and more integrations, Radar is a niche tool with a focused value proposition.
In short
Radar by Particle — Search the podcast universe by spoken word, not just titles. Best for Journalists and researchers seeking sources, Podcast enthusiasts who want to revisit specific moments, Content marketers performing competitive analysis. Free to start; paid plans from $9/mo.
What people actually say about Radar by Particle — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
25 mentions across 3 sources (YouTube, Product Hunt, Lemmy) · researched Sep 1, 2026.
- +Searchable spoken content is a huge time-saver for research
- +Timestamped results jump directly to relevant segments
- +Slick, user-friendly interface that beginners can master
- +Filters by show, date, and duration aid precise discovery
- +Saves and shares searches, plus CSV export for analysis
- −Search accuracy when you only recall the gist is questionable
- −Freemium may restrict full-text search, limiting free users
- −Limited community feedback makes reliability unproven
- −Transcription errors could hurt search precision in noisy audio
- −No mobile app mentioned, despite responsive design
- • Transcription credits may be metered
- • API usage could incur extra charges beyond subscription
Viability Score
How well maintained and how widely used is Radar by Particle? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Full-text search of spoken podcast content
- Real-time transcription with high accuracy
- Timestamped results for quick navigation
- Filter results by show, date, and duration
- Access to a vast library of episodes across genres
- Preview snippets of matched audio segments
- Save and share search results
- Keyword highlighting in transcripts
- Spellcheck and fuzzy matching for search queries
- Trending topics in podcasts
- Topic clustering for related mentions
- Mobile-friendly responsive design
- Export search results to CSV
- Bookmark episodes and searches
- Upcoming API access
About Radar by Particle
Radar by Particle is a specialized search engine that indexes the spoken content inside podcasts, not just titles and descriptions. It ingests audio, transcribes it, and makes the full dialogue searchable with timestamped results, so you can jump straight to the moment a phrase, name, or idea is mentioned. Designed for researchers, journalists, and marketers, Radar turns countless hours of listening into precise, targeted search.
Behind the Verdict
Radar by Particle addresses a real pain point: podcasts are rich in content but notoriously hard to search. Unlike traditional podcast apps that only index titles and descriptions, Radar transcribes episodes and makes the entire spoken word searchable. This is a game-changer for anyone who needs to find specific quotes, expert opinions, or mentions of a topic or brand across thousands of episodes. Strengths: - Deep search capability: The core value is the ability to search inside episodes, not just metadata. This is particularly useful for verifying quotes, finding experts, or tracking brand mentions. - Timestamped results: You get precise timestamps, letting you jump directly to the relevant part of an episode, saving hours of listening. - Clean interface: The design is simple and fast, making it accessible to non-technical users. Weaknesses: - Limited free plan: The free tier allows only 5 searches per month, which is quite restrictive for casual users. - No API yet: The lack of an API limits integrations and automation potential. - Dependency on transcription quality: Heavy accents or background noise could lead to errors, affecting search accuracy. Where it fits: - Journalists and researchers who need to cite specific audio moments. - Marketers monitoring brand mentions or competitive research. - Students and educators who want to curate podcast content for assignments. Where it doesn't fit: - Users who want a full podcast player with streaming or downloads. - Podcast creators looking for distribution or analytics tools. - Those who need basic search only and aren't willing to pay for advanced features. Overall, Radar is a focused tool that excels at its specific job. If you're a professional who regularly mines podcasts for information, it's worth the $9/month Pro plan. If you're a casual listener, the free tier might be too limited, and you'll likely stick with your current podcast app.
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Real-world workflow fit
Concrete scenarios for the personas Radar by Particle actually fits — and what changes day-one when you adopt it.
While researching a story, a journalist heard a quote on a podcast and needs to verify it. They use Radar to search for the exact wording and get timestamped results, allowing them to jump to the precise moment and confirm the quote.
Outcome: The journalist quickly verifies the quote and cites the episode accurately, saving hours of manual listening.
A content marketer wants to track mentions of their brand across podcasts. They set up searches for their brand name, use Radar's filters to narrow by date and show, and review snippets to gauge sentiment.
Outcome: The marketer gains valuable insights into how their brand is discussed in the podcast world, enabling them to craft targeted responses or outreach.
A student is writing a paper on climate change and needs to find podcast episodes that discuss specific subtopics. They use Radar to search for terms like 'carbon offset' and compile a list of episodes with timestamps for reference.
Outcome: The student builds a rich bibliography of audio sources, making their research process more efficient and their paper more credible.
Use Cases
- Find podcast episodes that mention a specific expert or research topic
- Verify a quote heard in a podcast for citation or fact-checking
- Monitor mentions of your brand or product across podcasts
- Discover podcasts that discuss a niche subject for audience research
- Create annotated episode lists for student assignments or discussion groups
Limitations
- Radar currently only indexes podcasts from its supported directory, which may not include every show.
- The free plan allows only 5 searches per month, which is quite restrictive.
- There is no API available yet, limiting integration possibilities.
- Search results depend on the quality of transcription, which may have errors with heavy accents or background noise.
as of 2026-09-01
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Radar by Particle tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Curious users who want to try Radar's search capabilities without committing, or casual listeners with occasional search needs.
What this tier adds
Free tier offers 5 searches per month, access to most recent episodes, basic search results with timestamps, and web access only.
Pro
$9/mo
Ideal for
Journalists, researchers, and marketers who rely heavily on podcast search for their work and need unlimited access and advanced filtering.
What this tier adds
Pro adds unlimited searches, full archive access, advanced filters by date/show/duration, upcoming API access, and priority support.
Where the pricing makes sense
The company stage and team size where Radar by Particle's pricing actually pencils out — and where peers do it cheaper.
Radar's pricing fits professionals who need deep search capabilities and are willing to pay $9/month. For casual users, the free tier is too limited (5 searches/month). Compared to comprehensive podcast platforms like Spotify or Apple Podcasts which are free but lack deep search, or Listen Notes which offers API and more integrations, Radar is a niche tool with a focused value proposition.
Setup time & first value
How long it actually takes to get something useful out of Radar by Particle — broken out by persona, not the marketing-page minute.
Radar is web-based and requires no installation. You can start searching immediately after creating a free account. For the first value, expect about 5 minutes to get familiar with the interface and run your first search. For Pro users, setting up advanced filters and saving searches is straightforward.
Switching to or from Radar by Particle
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual listening: Instead of manually scrubbing through episodes, start using Radar to search across podcasts for specific terms, saving time and effort.
- →From basic podcast apps: If you're used to searching only titles, Radar lets you search inside episodes, so you can migrate your research workflow to a more efficient tool.
- ↗To a comprehensive podcast platform: If you need playback features like streaming or downloads, you might switch to a platform like Spotify or Apple Podcasts, but you'll lose deep search.
- ↗To Listen Notes: If you need an API, broader podcast database, and advanced filtering, Listen Notes offers a more robust solution, albeit with a different pricing model.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Radar by Particle
Common stack mates teams adopt alongside Radar by Particle, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Radar By Particle vs Genspark
If your work revolves around turning web research into cited, actionable summaries and you want a whole suite of AI creation tools, Genspark is the obvious pick—it’s a workspace, not just a search box. But if you live in podcasts and need to find that one quote buried in an episode, Radar by Particle is the only tool here that solves that specific problem. Choose based on the job: comprehensive research and creation (Genspark) versus deep podcast mining (Radar).
Radar By Particle vs Sakana Ai
These tools serve completely different jobs. Choose Sakana AI if you're an enterprise needing automated multi-agent research and Japan-specific compliance. Choose Radar if you're an individual or researcher who wants to search inside podcast audio. Radar is transparent and immediately usable; Sakana requires a sales conversation and is built for a niche, high-stakes market.
Radar By Particle vs Undermind
If you live in academic papers and need exhaustive, citation-traced literature reviews, Undermind is the tool—it reads hundreds of papers and follows citation trails but demands 3–6 minutes per search. If you want to find the exact moment a guest said something on a podcast, Radar by Particle covers that with spoken-word search and timestamped results. Choose based on your content type: written research vs. audio dialogue.
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