Keyword Density Analyzer for Spoken Audio
Built for podcasts, videos and talks: it listens to what you said, not what you typed.
Most keyword density checkers expect you to paste written text or a web page URL. This one is for spoken content. Upload a podcast episode, a YouTube voiceover, a webinar or a conference talk, and the AI works out which words and phrases you repeat most, roughly how dense each one is as a share of everything said, and where in the recording those terms cluster. It groups terms into topics and themes, flags filler repetition and phrases you lean on too often, and points out search-relevant keywords a listener or search engine would associate with the episode. It then compares your usage with a natural density range and suggests where to mention a missing term or ease off an overused one. If you want to check a blog post or a page, a text SEO tool is the better choice.
Example result
Input
A 35-minute solo podcast episode about starting a vegetable garden on a balcony, about 5,200 words spoken.
Output
Top keywords: "container" (41 mentions, 0.8%), "balcony garden" (18, 0.35%), "tomatoes" (26, 0.5%), "potting mix" (14), "sunlight" (12). Repetition patterns: "basically" appears 37 times and "you know" 29 times, mostly in the second half. Distribution: "balcony garden" is said 11 times in the first 5 minutes and only twice after minute 20; the phrase disappears from the watering and harvest segments. Themes: container choice, light and orientation, watering schedules, pests. SEO-relevant terms: "balcony vegetable garden" is never said as a full phrase, though it matches the episode's topic. Recommendations: say the full phrase in the intro and outro, reuse it when you move to watering, and trim the filler words in the edit.
Scores
How it works
How Keyword Density Analyzer works
- 01
Listen through the recording
The AI transcribes the speech internally and counts content words and multi-word phrases, setting aside common words like "the" and "and" that carry no topic.
- 02
Estimate frequency and density
Each leading term gets a count and a density percentage relative to the total words spoken, so a 40-minute episode and a 5-minute clip can be compared fairly.
- 03
Map distribution and themes
It notes whether a keyword appears throughout or only in one segment, and groups related terms into the topics the episode really covers.
- 04
Recommend changes
Finally it compares your usage with a natural range, flags stuffing or verbal tics, and suggests terms worth saying in the intro, title or show notes.
Use cases
Who it is for
Podcasters writing show notes and titles
See which terms you really emphasized in the episode, then use those words in the title, description and chapter names so the listing matches the audio.
YouTubers checking a voiceover
Run the narration before publishing to confirm the topic phrase you are targeting is spoken clearly and more than once, since automatic captions pick up what you say.
Speakers rehearsing a talk
Find the phrase you overuse and the key idea you mention only once, and adjust the script before the event.
Course creators and educators
Check that each lesson keeps returning to its core terms, which helps learners and makes transcripts easier to search.
Tips
Get better results
- Upload clean speech where possible; loud music beds and crosstalk can cause words to be missed or miscounted.
- Write the keyword you care about in the additional instructions box so the report tracks that exact phrase.
- Treat density as a guide, not a target; spoken content that sounds natural matters more than hitting a percentage.
- Compare two episodes on the same topic to see how your emphasis changes between recordings.
- Cut long intros, ads and outros that repeat the same sponsor lines before analyzing, or they will dominate the counts.
Limitations
What it can't tell you
Counts and percentages are AI estimates from listening to the recording, not an exact word-by-word tally from a verified transcript, so small differences are expected on long files. The tool works on audio only; it cannot fetch a URL of a web page or check written copy. There is no single ideal keyword density for spoken content, and the SEO suggestions do not guarantee rankings on any platform.
Frequently Asked Questions
Keyword Density Analyzer questions
How is this different from a normal keyword density checker?
Text keyword density checkers analyze typed content such as articles or web pages. This analyzer takes an audio file and measures the words that were spoken, which is useful when your content lives as a podcast, video or talk and you have no finished transcript to paste into a text tool.
Can I use it as a word frequency counter for audio?
Yes. The report lists the most frequently spoken words and phrases with counts, so it doubles as a word frequency counter for recordings. Common function words are left out of the topic ranking, while verbal tics like "um" or "basically" are still reported under repetition patterns.
What is a good keyword density for a podcast?
There is no official number. Spoken content naturally repeats key terms less evenly than written copy. The report compares your usage with a natural range and flags terms that feel forced or barely mentioned, which is more useful than chasing a fixed percentage.
Does saying keywords in a podcast help SEO?
Platforms that generate transcripts and captions can use spoken words to understand what an episode is about, so saying your main topic clearly can help discovery. Titles, descriptions and show notes still carry the most weight, which is why the report suggests matching them to what you said.
Can it analyze a whole YouTube video?
Download or export the audio from your own video and upload it. Longer files take more credits and more processing time, so for very long streams it can help to analyze the main segment rather than the full recording, or split it into parts and compare them.
Related tools
You might also need
Podcast Analyzer
Analyze podcast content including topics, structure, engagement, and production quality
Speech Recognition
Transcribe and analyze speech content with speaker identification and language detection
Audio Summarizer
Summarize audio content into concise key points and takeaways
Speech Clarity Assessor
Evaluate articulation, enunciation, and intelligibility
Meeting Analyzer
Analyze business meetings for key points, action items, and participant engagement
Language Detector
Detect spoken languages and provide language identification with confidence scores
Keyword Density Analyzer uses credits from a paid LindaleAI plan. See pricing