Voice To Text: Speech AI
Voice To Text: Speech AI is an iOS transcription utility that converts audio and video files into text with automated speaker labeling.
The App DNA
What makes this app unique?
The tool removes the time-intensive friction of manual transcription for journalists and researchers who need to process long-form audio recordings quickly.
For Journalists, students, and researchers requiring automated transcription of audio and video content.
What does it look like?
Key features
Converts uploaded video and audio files into text using AI algorithms.
Condenses long recordings into concise summaries by extracting key points.
Automatically identifies and labels different speakers in multi-participant recordings.
How much does it cost?
The product is listed as free, though the lack of metadata regarding IAP or subscription tiers suggests a potential monetization gap or reliance on legacy ad-based models.
Velocity
Dormant developmentopaqueShow more...
Development has ceased, with no updates or feature releases in the last 779 days. The app remains in a zombie state, as the single version provided in the history contains only minor fixes and no subsequent activity has been recorded. There is no evidence of ongoing maintenance or operational support.
Who built it?
Daniel Triay Pons
5 apps tracked · Utilities
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Text to Image AIUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Voice To Text: Speech AI
How's the Utilities market?
Voice To Text: Speech AI maintains a 4.4-star rating on iOS, though this is based on a limited sample of 10 ratings. The absence of updates for over 770 days signals a lack of competitive investment in the current market.
Read the market outlookThe rivals identified
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Access the full report for freeThe Analyst's Read
Key takeaways for Voice To Text: Speech AI
Where is it heading?
The transcription market is consolidating around services with frequent model updates and cloud-sync capabilities. Voice To Text: Speech AI remains exposed due to its stagnant development cycle, which will likely lead to further user attrition as competitors offer more reliable, feature-rich alternatives.
- The 779-day update gap indicates a maintenance-mode state, which erodes user trust and prevents the integration of modern AI transcription improvements.
The SWOT
- Automated speaker detection simplifies dialogue-heavy transcription workflows
- Introducing a tiered subscription model to fund server-side accuracy improvements
Next best moves
Audit current ad-based monetization because the lack of revenue streams likely caused the 25-month development stall → restore update cadence
The counter-intuitive read
The lack of updates is not just a technical failure…
Read the full takeSince the last report: The product remains in a maintenance-only state with no feature or version updates, but the analytical focus has shifted toward identifying the ad-based monetization model as the root cause of its stalled development.
Bottom line
Voice To Text: Speech AI provides basic utility, but the lack of development cadence since mid-2024 leaves it vulnerable to feature-rich competitors. A pivot to a sustainable subscription model is necessary to fund the technical updates required to maintain parity with modern AI transcription standards.
Unlock 1 critical friction, 1 market threat and the analyst’s take.
Access the full report for freeFAQ
Is Voice To Text: Speech AI free to use?
How does Voice To Text: Speech AI handle speaker identification?
Is Voice To Text: Speech AI still being updated?
Sources
- [1] App Store
Report last updated