MONEY LIST · 9 receipts
Voice-to-text AI apps making money
Voice-to-text products sit close to a repeated human problem: people speak faster than they type, then need a usable record. This list selects earned receipts whose product, description, or amount label mentions voice, transcription, speech, or notes. The set is broader than dictation alone. It includes interview tools, email assistants, video products with voiceovers, study software, and a consulting service that builds voice agents. The table keeps each product's original description and amount label so those differences remain visible.
Letterly is the largest direct voice-to-text example at a reported $250,000 in monthly revenue. Anton's product turns speech into polished text for notes, messages, emails, and meeting records. Turbo AI reports $10M+ ARR for a study app that turns lectures, PDFs, and videos into notes, flashcards, and quizzes. Wrestle AI reports $131,863 in total revenue over six months by turning wrestling videos into scores, drills, and strategy notes. These figures use different periods and products, so they should not be treated as one revenue ranking.
The more focused software records show the workflow clearly. Vid.AI reports $50,245 Stripe-verified MRR for turning ideas or scripts into videos with AI voiceovers and editing. StoryShort.ai reports $22,309 verified MRR for scripts, voiceovers, and ready-to-upload short videos. ParakeetAI reports $16,000 monthly revenue for a real-time interview assistant that transcribes calls and drafts answers. MeetOscar reports $45,000 MRR for an email assistant that drafts replies in the user's own voice. Negodiuk AI Consulting reports $11,000 monthly revenue from building AI voice agents, email workflows, and reporting bots for businesses.
The common value proposition is not simply speech recognition. It is the next step after capture: clean text, a draft, a summary, a recommendation, a reply, or a structured note. Letterly turns speech into several kinds of writing. ParakeetAI turns a call into interview support. Turbo AI turns recorded learning material into study aids. Wrestle AI turns video into coaching notes. That suggests a useful product question: what decision or action becomes easier after the transcript exists?
Evidence and measurement still limit the comparison. Vid.AI and StoryShort.ai carry processor-verified labels. Wrestle AI is maker-documented. Most other amounts are maker claims. Turbo AI's figure is ARR, Letterly's is monthly revenue, MeetOscar's is MRR, and Wrestle AI's is cumulative six-month revenue. Some records are not pure voice-to-text products, because the text filter intentionally catches a voice or notes workflow. Read the source before treating a reported number as current, recurring, or independently checked.
Key takeaways
- The strongest products sell the action after transcription: a draft, summary, study aid, score, or reply.
- Letterly reports $250,000 monthly revenue, while Turbo AI reports $10M+ ARR; their measures are different.
- The list includes direct voice tools plus products that use voiceovers, lectures, or notes in a wider workflow.
- Vid.AI and StoryShort.ai carry processor-verified evidence; most other records are maker claims.
- Compare the capture job, next action, and measurement period before comparing revenue.
Receipts in this list
| Product | Maker | Amount | What it is | Built with | Evidence |
|---|---|---|---|---|---|
| Turbo AI | Rudy Arora and Sarthak Dhawan | $10M+reported ARR ("eight figures") | Turbo AI is an AI study app that turns lectures, PDFs, and videos into notes, flashcards, and quizzes. | AI lecture capture, AI-generated notes, flashcards, and quizzes | Maker claim |
| ghost-niche faceless YouTube channels | Romayroh | $2M+reported lifetime YouTube ad revenue | Romayroh runs faceless YouTube channels in low-competition niches with AI-written scripts and AI voiceover. | Claude, ElevenLabs | Maker claim |
| Letterly | Anton | $250,000reported monthly revenue | Letterly turns speech into polished text for notes, messages, emails and meeting records. | ChatGPT, OpenAI transcription | Maker claim |
| Wrestle AI | George Lampropoulos | $131,863reported total revenue over 6 months | Wrestle AI turns wrestling match videos into AI scores, strengths, weaknesses, drills, and strategy notes. | Rork, ChatGPT, OpenAI | Maker-documented |
| Vid.AI | Priyam Raj | $50,245Stripe-verified MRR | Vid.AI turns ideas or scripts into ready-to-post videos with AI voiceovers and editing. | AI voiceovers, AI visuals, AI video editing | Processor-verified |
| MeetOscar | Giovanni Brees | $45,000reported MRR | MeetOscar is an AI email assistant that drafts replies in the user's own voice. | Lovable, ChatGPT API | Maker claim |
| Across the Globe and Nutty History | Devon Canup | $32,149reported monthly AdSense revenue | Canup runs the faceless YouTube channels Across the Globe and Nutty History through an AI-assisted scripting and voiceover pipeline. | ChatGPT, ElevenLabs | Maker-documented |
| StoryShort.ai | Samuel Rondot | $22,309verified MRR | StoryShort.ai is an AI short-video generator that turns topics into scripts, voiceovers and ready-to-upload videos. | Claude Code, AI short-video generation, AI API | Processor-verified |
| Negodiuk AI Consulting | Dmytro Negodiuk | $11,000reported monthly revenue | Negodiuk AI Consulting builds AI voice agents, email workflows, and reporting bots inside small and mid-size businesses. | AI customer service agents, AI voice bots, AI email workflows | Maker claim |
FAQ
What qualifies as voice-to-text here?
An earned receipt qualifies when its product, what, or amount label contains voice, transcription, speech, or note. The text match intentionally includes adjacent workflows.
Are all products pure transcription apps?
No. The set includes interview assistance, video voiceovers, study notes, email drafting, and a voice-agent service as well as transcription products.
Can I compare Letterly's $250,000 with Turbo AI's $10M+?
Only with care. Letterly reports monthly revenue and Turbo AI reports ARR. The products, periods, evidence, and labels are different.
Does transcription alone explain the reported revenue?
No. The receipts describe broader workflows and do not isolate transcription from distribution, product design, pricing, or other work.