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Podcast transcription (7)

Tapesearch

Quickly search podcast transcripts with Tapesearch.

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Starting price Free + from $15/mo

Tool Information

Tapesearch is a search engine specifically designed for rapidly searching through podcast transcripts. Drawing from a large open database of transcripts, users can quickly locate key phrases or points of interest within a podcast episode, going straight to the time-stamped audio where these phrases or points were mentioned. The tool presents a solution for market research, open-source intelligence, podcast enthusiasts, and others who may benefit from efficiently accessing spoken content. With its alerts function, users can get notifications when specific keywords are mentioned in a podcast, thereby saving them the time and effort of manual search. Users can also engage with AI-powered Q&A chat feature, which can glean insights from multiple podcasts. Tapesearch also allows users to download transcripts in various formats such as TXT, SRT, VTT, and JSON. As per pricing, Tapesearch comes in three options: Basic, Tapesearch Pro, and Tapesearch Alerts, each with varying features and level of functionality. It is dedicated to improving podcasts' SEO and inclusivity for the deaf and hard of hearing community. The application is quite flexible, accurate, and fast in delivering results. However, there may be minor transcription errors with people's names, fast speech, overlapping music, and long silence periods.

F.A.Q (20)

Tapesearch is a search engine that uses artificial intelligence to expedite the process of searching through podcast transcripts. It offers a vast database of AI-generated transcriptions from an extensive array of podcasts and is continually updated with new transcripts.

Tapesearch leverages AI to scan through a massive database of podcast transcriptions, extracting and indexing keywords to make the process of search far quicker and more efficient. This algorithmic implementation of AI allows for efficient text searching of the titles, summaries, and transcripts, ensuring that users get their results promptly.

Tapesearch allows users to sort podcast transcripts by relevance and podcast title. This way, users can easily browse through the transcriptions, making their search more targeted and efficient.

Tapesearch offers a variety of filters to help narrow down search results. Users have the option to filter search results by the date of podcast publication, with options to select a specific start date and end date, the last 6 months, or the last 12 months.

Yes, Tapesearch provides an option to exclude certain words from the search results. This helps in refining the search and removing irrelevant content from the results.

Tapesearch Pro offers a variety of advanced features. These include an AI-powered chat feature, expanded search abilities to search within transcripts with additional search filters, and the ability to download timestamped transcripts in various formats, such as TXT, SRT, VTT, and JSON. Additionally, Tapesearch Pro subscribers receive two email alerts whenever their specified keywords are mentioned in a podcast.

Users can send in their feedback to the Tapesearch team through the chat box provided on the website. The Tapesearch team values user inputs for suggestions on new filters or improvements.

Yes, with Tapesearch's alerts feature, users can get notifications every time their specified keywords are mentioned in a podcast. This saves users time and effort from manual search and ensures they never miss a mention.

Yes, Tapesearch enables users to download transcripts for their convenience, and these can be acquired in various formats like TXT, SRT, VTT, and JSON.

Tapesearch contributes to improving podcast SEO by transcribing podcasts into text, making them searchable and consequently improving their discoverability online. This leads to increased visibility, reach and audience engagement with the podcasts.

Tapesearch offers three pricing options. The Basic option is free and offers access to view timestamped transcripts along with options to search text within titles and summaries. Tapesearch Pro costs $15/month and includes additional search filters, chat with Tapesearch, and downloading of timestamped transcripts, plus email alerts. Tapesearch Alerts costs $37/month and provides up to 50 alerts direct to your inbox along with all the features of Tapesearch Pro.

Given the complexity of language and variations in podcast quality, minor transcription errors may occur when transcribing people's names, during fast speech, overlapping music, and during long silence periods.

Yes, users can search for specific phrases within podcast episodes using Tapesearch. By enclosing the phrase in double quotation marks, users can directly find the instances where those phrases were mentioned in the podcast.

Tapesearch is known for its speed, accuracy, and flexibility in delivering search results. Its AI-powered search engine quickly extracts relevant information from its broad podcast transcription database, making it incredibly efficient. Its innovative keyword indexing makes it highly accurate in finding instances of specific words and phrases. Additionally, with its customizable filters, Tapesearch offers great flexibility for users to tailor their search experience to their needs.

Tapesearch works towards inclusivity for the deaf and hard of hearing community by transcribing podcasts into text format. This allows these communities, who otherwise may find it difficult to consume podcast content, to engage with the content in a format that is accessible to them.

Tapesearch claims to host the largest open database of podcast transcripts, with currently more than 330,739 AI-generated transcriptions from over 2,298 different podcasts.

Yes, Tapesearch helps in locating specific points of interest within a podcast. It finds key phrases or points of interest within a podcast episode and relates them to the time-stamped audio where these phrases or points were mentioned.

Yes, Tapesearch allows users to engage with an AI-powered Q&A chat feature. This sophisticated AI tool can glean insights from multiple podcasts, facilitating an interactive dialogue with the user.

Tapesearch is updated with new transcripts daily. Its database starts a refresh cycle at midnight UTC daily, with new transcripts usually ready shortly after.

Yes, with Tapesearch, users can search text in titles, summaries, and transcripts. This broadens the scope of the search and helps in extracting more targeted and relevant results for the user.

Pros and Cons

Pros

  • Large open database
  • Rapid transcript search
  • Email keyword alerts
  • Transcripts in multiple formats
  • Flexible pricing options
  • Improves podcast SEO
  • Inclusivity for deaf community
  • Timestamped search results
  • Encoder for transcriptions
  • Excludes specific words
  • Search filters by date
  • Pro version with extra features
  • Listener feedback encouraged
  • Phrases search in double quotes
  • Market research tool
  • Open-source intelligence tool
  • Downloadable transcripts
  • Transcription error acknowledgement
  • Frequent database refresh
  • Touch interface for chat
  • New transcripts added daily
  • Text search within titles
  • Alerts for keyword mentions
  • Flexible
  • accurate
  • and fast
  • Transcription links to audio
  • Seamless sign up process
  • Supports multiple file formats
  • Emailed insights
  • Largest database of podcast transcripts
  • Sort transcripts by relevance
  • Filter results by publish date
  • Search for longer phrases
  • Direct to audio samples
  • Highly accessible
  • Saves on manual search
  • Ensures Podcast discoverability
  • Different subscription tiers
  • Helps compete in market
  • Available chat box for support
  • Requests for new features
  • Affiliate program available
  • Daily updates of transcripts

Cons

  • Limited podcast database
  • Errors in transcription
  • Paywalled podcasts not included
  • Timestamp errors with music/silence
  • No support for languages other than English
  • Inaccurate with fast speech
  • Difficulty with people's names
  • Doesn't handle overlapped speech well
  • Alters may not be instant

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