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Orchard

Speech-to-text for LatAm calls. Most accuracy per dollar.

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This is 1 of 88 launches in voice interfaces and desktop utilities — see how it stacks up on momentum and crowding →

285 other launches read as similar to this one →

Details

External ID
1261263
Source
PH
Company
—
Product
Orchard
Website domain
producthunt.com
Launched
Oct. 6, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.3258772542988956
Tags
Developer Tools, Artificial Intelligence, GitHub, Audio
Fetched at
Oct. 7, 2026, 1 a.m.
Updated at
Oct. 7, 2026, 1 a.m.

Description

Speech-to-text API built for real Latin American Spanish calls. $0.025/hr batch, $0.036/hr with word-level speaker diarization. OpenAI-compatible: swap one line. We benchmarked 7 engines on real calls and published audio, references and code.

Enrichment

Niche
voice interfaces and desktop utilities
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
speech-to-text api optimized for latin american phone calls
Manually corrected
False

Could you build this?

No Delivering custom regional STT with diarization at fractions of standard market cost ($0.025/hr) requires custom acoustic models, massive localized audio datasets, and highly optimized GPU inference infra.

What it would actually take: The service requires a proprietary curated corpus of Latin American phone audio, fine-tuned ASR models (e.g., Kaldi, Whisper, or Conformer variants), and an ultra-optimized C++ inference engine (like vLLM or TensorRT-LLM/CTranslate2). It also demands massive GPU fleet management and custom word-level diarization algorithms.

Competitors

Other products that read as similar to this one — 285 launches clear the similarity bar, closest 8 shown.

Attention rank: #186 of 286 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 340 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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