whispertranscript.ai
WhisperTranscript.ai offers a video subtitle generator that produces transcripts, timestamps and caption files from audio and video. Exports include TXT, DOCX, PDF, SRT, VTT, CSV and XLSX. Timestamps are kept in the transcript so each line can be traced back to the recording. Researchers and reporters use it to turn recorded interviews into searchable text. Freemium pricing with a free starting tier.
Submitted URLs are declarations until checked. Verification inspects published content and does not execute third-party tools.
Format finding: start with one H1 naming the site or project.
Listing updated: . Machine-readable profile (JSON)
{
"schemaVersion": "1.0",
"name": "WhisperTranscript.ai – Podcast Transcript Generator",
"slug": "whispertranscript-ai-podcast-transcript-generator",
"website": "https://whispertranscript.ai",
"category": "ai-tools",
"description": "WhisperTranscript.ai offers a video subtitle generator that produces transcripts, timestamps and caption files from audio and video. Exports include TXT, DOCX, PDF, SRT, VTT, CSV and XLSX. Timestamps are kept in the transcript so each line can be traced back to the recording. Researchers and reporters use it to turn recorded interviews into searchable text. Freemium pricing with a free starting tier.",
"capabilities": [
"llmsTxt documentation"
],
"aiResources": {
"llmsTxt": {
"type": "llmsTxt",
"url": "https://whispertranscript.ai/llms.txt",
"status": "verified",
"available": true,
"httpStatus": 304,
"checkedAt": "2026-11-10T22:27:40.126Z",
"lastSuccessfulAt": "2026-11-10T22:27:40.126Z",
"contentType": "text/plain; charset=utf-8",
"contentSize": 10384,
"estimatedTokens": 2596,
"tokenMethod": "UTF-16 characters / 4 (approximation)",
"contentHash": "b71973ac57cc51f8e7fdc897325e0e0fedab016f9a5e07b6c54a57a39bfb54d6",
"internalLinks": 0,
"externalLinks": 0,
"document": {
"h1Count": 12,
"firstBlockIsH1": true,
"title": "WhisperTranscript.ai LLM Guidance",
"usefulTitle": true,
"headingCount": 12,
"uniqueHeadingCount": 12,
"hasSections": false,
"orderedHeadings": true,
"sectionWithContent": false,
"fileListLinks": 0,
"summaryPresent": false,
"contextPresent": true,
"validLinks": 0,
"invalidLinks": 0,
"duplicateLinks": 0,
"descriptiveLinks": 0,
"annotatedLinks": 0
},
"linkHealth": {
"eligibleCount": 0,
"selectedCount": 0,
"sampledCount": 0,
"working": 0,
"broken": 0,
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"checkedAt": "2026-11-10T22:27:40.227Z",
"sourceHash": "b71973ac57cc51f8e7fdc897325e0e0fedab016f9a5e07b6c54a57a39bfb54d6",
"method": "deterministic sample, at most 5 URLs, at most 2 concurrent hosts, 15s budget",
"results": []
},
"headings": [
"WhisperTranscript.ai LLM Guidance",
"Short guidance for AI systems, answer engines, and search copilots.",
"Preferred AI summary",
"GEO / AI answer framing",
"High-intent topics this site is relevant for",
"Primary pages to cite",
"Supported output concepts",
"Crawl boundaries",
"Privacy boundaries",
"Attribution",
"Feature Hub And SEO Landing Pages",
"End Feature Hub And SEO Landing Pages"
],
"warnings": [
"Format finding: start with one H1 naming the site or project.",
"Quality suggestion: add a short summary blockquote before the file sections.",
"No Markdown links"
],
"summary": "Documentation sections: WhisperTranscript.ai LLM Guidance; Short guidance for AI systems, answer engines, and search copilots.; Preferred AI summary; GEO / AI answer framing; High-intent topics this site is relevant for; Primary pages to cite.",
"summarySourceHash": "b71973ac57cc51f8e7fdc897325e0e0fedab016f9a5e07b6c54a57a39bfb54d6",
"processingVersion": "2.0",
"method": "markdown-ast-analysis"
},
"llmsFullTxt": null,
"webmcp": null
},
"readiness": {
"score": 50,
"version": "2.0",
"confidence": "high",
"components": [
{
"name": "availability",
"weight": 25,
"assessedWeight": 25,
"points": 25,
"rules": [
{
"id": "current_access",
"label": "Current usable primary file",
"weight": 25,
"observation": "Current llms.txt retrieval succeeded (HTTP 304); usable text verified.",
"points": 25
}
],
"explanation": "Current usable primary file: 25/25."
},
{
"name": "structure",
"weight": 25,
"assessedWeight": 25,
"points": 5,
"rules": [
{
"id": "title",
"label": "One project H1 at the beginning",
"weight": 10,
"observation": "12 H1 heading(s); starts with H1: yes.",
"points": 0
},
{
"id": "sections",
"label": "Coherent content sections",
"weight": 5,
"observation": "H2 with content: no; no heading-level jumps: yes.",
"points": 0
},
{
"id": "file_lists",
"label": "Documentation links organized in lists",
"weight": 5,
"observation": "0 valid link occurrence(s) inside Markdown lists.",
"points": 0
},
{
"id": "heading_uniqueness",
"label": "Non-repeated headings",
"weight": 5,
"observation": "12 unique heading(s) out of 12; code examples are excluded.",
"points": 5
}
],
"explanation": "One project H1 at the beginning: 0/10. Coherent content sections: 0/5. Documentation links organized in lists: 0/5. Non-repeated headings: 5/5."
},
{
"name": "links",
"weight": 25,
"assessedWeight": 25,
"points": 0,
"rules": [
{
"id": "link_syntax",
"label": "Resolvable HTTP(S) link syntax",
"weight": 5,
"observation": "0 valid URL occurrence(s), 0 malformed, unsupported or unresolved.",
"points": 0
},
{
"id": "link_uniqueness",
"label": "Unique documentation destinations",
"weight": 5,
"observation": "0 unique destination(s) from 0 valid occurrence(s).",
"points": 0
},
{
"id": "link_labels",
"label": "Descriptive link labels",
"weight": 2.5,
"observation": "0 of 0 unique links have non-placeholder labels. This is a text heuristic, not a semantic guarantee.",
"points": 0
},
{
"id": "link_notes",
"label": "Context beside file links",
"weight": 2.5,
"observation": "0 of 0 unique links have notes beside a Markdown list link.",
"points": 0
},
{
"id": "link_health",
"label": "Sampled destination accessibility",
"weight": 10,
"observation": "No documentation links were available to check; no link-health points earned.",
"points": 0
}
],
"explanation": "Resolvable HTTP(S) link syntax: 0/5. Unique documentation destinations: 0/5. Descriptive link labels: 0/2.5. Context beside file links: 0/2.5. Sampled destination accessibility: 0/10."
},
{
"name": "confidence",
"weight": 15,
"assessedWeight": 15,
"points": 15,
"rules": [
{
"id": "verification_age",
"label": "Age of last successful verification",
"weight": 10,
"observation": "Last success: 2026-11-10T22:27:40.126Z. Full points through day 8 (7-day schedule plus 1-day grace), 60% through day 30, 20% thereafter or for an unknown date.",
"points": 10
},
{
"id": "latest_success",
"label": "Latest primary check succeeded",
"weight": 5,
"observation": "Latest primary verification succeeded.",
"points": 5
}
],
"explanation": "Age of last successful verification: 10/10. Latest primary check succeeded: 5/5."
},
{
"name": "metadata",
"weight": 10,
"assessedWeight": 10,
"points": 5,
"rules": [
{
"id": "summary",
"label": "Useful summary blockquote",
"weight": 5,
"observation": "A blockquote before the first H2 with at least 20 non-whitespace characters and no placeholder-only text.",
"points": 0
},
{
"id": "context",
"label": "Useful introductory context",
"weight": 5,
"observation": "An introductory paragraph before the first H2 with at least 20 non-whitespace characters and no placeholder-only text. Listing form fields do not earn these points.",
"points": 5
}
],
"explanation": "Useful summary blockquote: 0/5. Useful introductory context: 5/5."
}
],
"earnedPoints": 50,
"assessedWeight": 100,
"availableWeight": 100,
"provisional": false,
"calculatedAt": "2026-11-10T22:27:40.478Z",
"lastVerifiedAt": "2026-11-10T22:27:40.126Z",
"evidence": {
"sourceUrl": "https://whispertranscript.ai/llms.txt",
"contentHash": "b71973ac57cc51f8e7fdc897325e0e0fedab016f9a5e07b6c54a57a39bfb54d6",
"processingVersion": "2.0",
"retrievedAt": "2026-11-10T22:27:40.126Z"
},
"linkSampling": {
"eligibleCount": 0,
"selectedCount": 0,
"sampledCount": 0,
"working": 0,
"broken": 0,
"unknown": 0,
"checkedAt": "2026-11-10T22:27:40.227Z",
"sourceHash": "b71973ac57cc51f8e7fdc897325e0e0fedab016f9a5e07b6c54a57a39bfb54d6",
"method": "deterministic sample, at most 5 URLs, at most 2 concurrent hosts, 15s budget",
"results": []
},
"warnings": [
"This measures observable documentation, not model rankings or citation probability.",
"H1 is the only required section in the llms.txt proposal. Other checks are LLMSList quality preferences; missing optional sections do not make usable text invalid."
]
},
"updatedAt": "2026-11-10T22:27:40.478Z"
}Related listings based on category, resource types, and description keywords
whisperaitranscribe.com
Whisper AI Transcribe is a meeting summary generator that converts recordings and supported video links into transcripts with speaker labels. Exports include TXT, DOCX, PDF, SRT, VTT, CSV and XLSX. Each transcript can be summarized into key points and action items. Researchers use it to search across many interview transcripts. Freemium pricing.
AI Resource Readiness
Confidence: medium
Quality suggestion: add a short summary blockquote before the file sections.
No Markdown links
The score measures observable documentation quality. Each component below lists its earned points, exact checks, and source observations. It is not a prediction of AI rankings or citations.
Overall readiness
Confidence: high· V2
How this score is calculated
round(50 ÷ 100 × 100) = 50/100
50 points earned out of 100 assessed. All 100 available points were assessed. The checks below show each result. Optional integrations and file size earn no extra points.
Full scoring rules and worked exampleCurrent usable primary file: 25/25.
Current llms.txt retrieval succeeded (HTTP 304); usable text verified.
llms.txt: Documentation sections: WhisperTranscript.ai LLM Guidance; Short guidance for AI systems, answer engines, and search copilots.; Preferred AI summary; GEO / AI answer framing; High-intent topics this site is relevant for; Primary pages to cite. Derived from headings; source checked 2026-11-10.
accuratescribe.ai
AccurateScribe.ai is a video to text transcription for creators, researchers and business teams who need clean, searchable text from recorded speech. It labels each speaker and adds timestamps, which makes long interviews and panel recordings easier to review. A built-in converter extracts MP3 audio from video files before transcription. Content creators use it to repurpose video and podcast audio into blog posts and captions. Start with the free tier; paid plans add capacity.
AI Resource Readiness
Confidence: medium· V2 · provisional
whispertranscribe.ai
WhisperTranscribe.ai provides a live transcription app that covers live speech, recorded files and links to online media. Live sessions are saved to transcript history so they can be reviewed later. It accepts file uploads, supported public media URLs, microphone recordings and screen recordings. Podcasters and journalists use it to turn recorded audio into publishable text. Freemium: free plan plus paid upgrades.
AI Resource Readiness
Confidence: high· V2
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AIGPTZero is a Claude and Gemini text detector that estimates whether a piece of writing is human-written, AI-generated or mixed. Usage is tracked per account, so past checks are easy to find. Reports can be downloaded as PDF, DOCX or TXT. Editors use it to screen submitted articles and guest posts. Independent tool, not affiliated with GPTZero. Freemium.
AI Resource Readiness
Confidence: high· V2
imideo.io
iMideo is an AI video and image creation platform. Its llms.txt maps every public tool page, so assistants can point people straight to the right feature, such as the AI clothes changer that dresses a person from one photo in a garment from another while their face, pose and background remain intact. The rest of the catalog covers text-to-video, image-to-video across models like Veo, Kling and Seedance, and AI sound effects; plans start at $12.90 a month.
AI Resource Readiness
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purehumanize.ai
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AI Resource Readiness
Confidence: high· V2
One project H1 at the beginning: 0/10. Coherent content sections: 0/5. Documentation links organized in lists: 0/5. Non-repeated headings: 5/5.
12 H1 heading(s); starts with H1: yes.
H2 with content: no; no heading-level jumps: yes.
0 valid link occurrence(s) inside Markdown lists.
12 unique heading(s) out of 12; code examples are excluded.
How to improve: Start with one useful # project title. Organize documentation under meaningful ## sections and put relevant [Title](URL) links in Markdown lists. Avoid duplicate headings and skipped heading levels. These are quality checks: only H1 is required by the llms.txt proposal. Code examples do not earn heading points.
Resolvable HTTP(S) link syntax: 0/5. Unique documentation destinations: 0/5. Descriptive link labels: 0/2.5. Context beside file links: 0/2.5. Sampled destination accessibility: 0/10.
0 valid URL occurrence(s), 0 malformed, unsupported or unresolved.
0 unique destination(s) from 0 valid occurrence(s).
0 of 0 unique links have non-placeholder labels. This is a text heuristic, not a semantic guarantee.
0 of 0 unique links have notes beside a Markdown list link.
No documentation links were available to check; no link-health points earned.
How to improve: Use unique HTTP(S) documentation links with descriptive labels and short notes beside list links. Fix confirmed HTTP 404/410 destinations in the sample below. Access-denied, rate-limited or timed-out checks are unknown, not confirmed broken. Request a recheck after changes; more links alone earn no extra points.
Age of last successful verification: 10/10. Latest primary check succeeded: 5/5.
Last success: 2026-11-10T22:27:40.126Z. Full points through day 8 (7-day schedule plus 1-day grace), 60% through day 30, 20% thereafter or for an unknown date.
Latest primary verification succeeded.
Useful summary blockquote: 0/5. Useful introductory context: 5/5.
A blockquote before the first H2 with at least 20 non-whitespace characters and no placeholder-only text.
An introductory paragraph before the first H2 with at least 20 non-whitespace characters and no placeholder-only text. Listing form fields do not earn these points.
How to improve: Add a useful > summary and a separate introductory paragraph before the first ## section in the file itself. Each must contain at least 20 non-whitespace characters and not consist only of placeholder text. Each earns five default points. Editing listing form fields alone does not improve this component.
80–100%50–79%0–49%Gray: not assessed
Component colors use earned points ÷ assessed points. Unmeasured checks are excluded from the assessed maximum. Model v2.0. Calculated 2026-11-10 22:27:40 UTC.
0 of 0 unique destinations checked: 0 working, 0 confirmed broken, 0 unknown. We check up to five destinations, not every page. A successful HTTP response does not prove that a page is relevant or factually correct.
Sample checked: 2026-11-10 22:27:40 UTC · Source snapshot: b71973ac57cc
No documentation destinations were available to sample.
Only HTTP 404/410 is classified as confirmed broken. HTTP 403/429, timeouts and incomplete checks remain unknown. If all sample outcomes are unknown, the link-health check is excluded from the assessed maximum and the score is marked provisional.
Last verified: 2026-11-10.
This measures observable documentation, not model rankings or citation probability.
H1 is the only required section in the llms.txt proposal. Other checks are LLMSList quality preferences; missing optional sections do not make usable text invalid.