AiRecMark/Intelligence/Category pricing economics
B-05 · Category pricing economicsarchive-recorded · snapshot 2026-09-27

Audio & Voice AI Tools: Pricing Economics

Pricing economics for the Audio & Voice category across 55 archives: 39 carry a numeric starting price, 44 are free-tier listings, and 16 archives without a numeric amount are compared by pricing label only. Unit groups are never mixed — every comparison below is within a single billing unit.

Key numbers

Archives
55
data/tools · N=55
Numeric starting price
39
pricing.startingPrice.amount · N=55
Free-tier listings
44
pricing.model · N=55
Median mo starting price
$8/mo
unit=mo amounts · N=31
Label-fallback listings
16
pricing.label · N=55
Unit groups
7
startingPrice.unit · N=39

Starting-price spread by billing unit

only numeric amounts; null amounts excluded (R5)

UnitListingsMinMedianMax
mo31$0$8$29
user3$4.99$8$15
hour1$0.15$0.15$0.15
once1$11$11$11
min1$0$0$0
hr1$2$2$2
1k-chars1$0.03$0.03$0.03

Lowest mo-unit starting prices (top 10)

the largest unit group in this category: unit="mo", N=31

ToolStarting priceModelLabel
Adobe Podcast$0/mofreemiumFree Enhance Speech (up to 4 hrs/day, 1GB/file) · Studio tier price unlisted
Chatterbox$0/mofreeFree open source (MIT) · community edition on GitHub
Coqui TTS$0/mofreeFree open source (MPL 2.0) · pip install coqui-tts
F5-TTS$0/mofreeFree open source (MIT code · CC-BY-NC model checkpoints)
Piper$0/mofreeFree open source (GPL-3.0-or-later) · pip install piper-tts (v1.8.0)
Podcastle$0/mofreemiumFree tier · Essentials/Pro/Teams paid plans (save 40% yearly) · Business custom
Resemble AI$0/mofreemiumFlex $0 + PAYG credits (never expire) · Team $350/mo ($280 annual) · Business $1,000/mo
TTSMaker$0/mofreeFree (core features)
Hume AI$3/mousageFree 10K TTS chars + 5 EVI min/mo · Starter $3/mo · Creator $7/mo · Pro $70/mo
Cartesia$5/mofreemium$5 / mo (Pro, 100k credits) · Free 20k

Pricing model distribution

freemium38usage7free6subscription4

Count of archives per recorded pricing.model across the 55 Audio & Voice archives.

Method

  • Population: category = "audio" archives (N=55); pricing fields as recorded (pricing.model, pricing.startingPrice.amount, pricing.startingPrice.unit).
  • Unit discipline: amounts are grouped by startingPrice.unit and compared only within the same unit; cross-unit arithmetic is never performed.
  • Null discipline: archives with a null startingPrice.amount (16 here) are excluded from every numeric statistic and fall back to pricing.label, then pricing.model, for display.
  • Median over each unit group uses the standard median; min/max are the observed extremes in that group.
Data appendix. Source: data/tools/*.json · snapshot 2026-09-27 · method: group by startingPrice.unit, numeric amounts only, same-unit stats · aggregates published with method and N. T1 benchmarks recorded: 3 / 448.