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Everything / Voice and audio / Text to speech

Trend in Voice and audio · tag text-to-speech · through Sep 2026

Text to speech Accelerating

On TutorHero's Everything Index, Text to speech is accelerating on GitHub: 0.96 of every 10,000 new public repos over the last three months (914 a month), +275% vs a year ago. The 12-month forecast says rising (+52%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).

Per 10k new repos0.96914 new repos a month
Year over year+275%3 months: +53%
Next 12 months+52%80% band +28% to 5x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention2.97%of new stars, +38% in a year
Jev 2032 callnot read yetonly top trends are sent to Jev
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Since 2019, and the range to 2032

0.010.030.10.3131020192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 2.37Median 0.51Low 0.01

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar lines

The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week448 new reposOct 12 to Oct 18 · -4% against the field
Last 4 weeks▲ +13%1.3k new repos, against the 4 weeks before and the field
Wikipedia, 7 days3.3k views+14% against the 4 weeks before, all of Wikipedia the same way
AprMayJunJulAugSepOct

Wikipedia views a day, last 8 weeks

Aug 28Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16

New public repos with the text-to-speech tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News6 stories a month+14% share of HN vs a year ago · titles with "text-to-speech"
Wikipedia13.3k views a month+22% share of Wikipedia vs a year ago · Speech synthesis
Talk vs buildingTalk and building in stepHacker News +14% vs GitHub new repos +275% over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hired
  • Worth learning now: Text to speech is accelerating, +275% share of new GitHub repos vs a year ago.
  • Start by reading debpalash/VoiceStudio (+37.5k stars in 3 months) and harry0703/MoneyPrinterTurbo (+9.0k stars in 3 months).
  • People to follow: RVC-Boss, coqui, MyShell.
Founders and builderswhat to build next
  • Builders and attention both rising: new repos +275%, attention +38% in a year.
  • 26.3 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
  • The 12-month forecast for its share: +52% (Rising).
  • Talk and building in step: Hacker News +14% vs new repos +275% in a year, close to the typical trend.
Investorswhich fields deserve research time
  • History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
  • Attention: 2.97% of new stars on the repos we track, +38% in a year.
  • Hacker News: 6 stories a month, +14% share in a year; Wikipedia 13.3k views a month, +22%.
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adopt
  • Most-starred tools here lately: debpalash/VoiceStudio (vouched), harry0703/MoneyPrinterTurbo (vouched).
  • The field is accelerating, so expect new tools and fast changes; pin versions.

Repos carrying it now

People building it

More in Voice and audio

Questions

Is Text to speech growing on GitHub?

Yes. Its share of all new public GitHub repos is +275% vs a year ago and +53% over the last three months (Sep 2026). Phase: Accelerating.

How many new Text to speech repos are created each month?

About 914 new public repos a month carry the text-to-speech tag (three-month average to Sep 2026), or 0.96 of every 10,000 new repos.

What will Text to speech look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller.

Is Text to speech more talked about than built?

Talk and building in step. Over the year its share of Hacker News stories moved +14% while its share of new GitHub repos moved +275%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 1.1 times the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.