Strongest current signal
Package downloads
4.0M/30d
Across npm and PyPI
▲ +6%
Speech AI platform. Transcription, summarization, and audio analysis.
Best current coverage: 4.0M downloads/30d, 172 dependents, and 12 public repos.
Lead signals
Package pull and public code usage both show up clearly for AssemblyAI.
Strongest current signal
4.0M/30d
Across npm and PyPI
172
Known dependents across npm and PyPI
202
Main repository stars
9/30d
Ranked #3 in category discussion
Research Brief
No recent Research Brief centers AssemblyAI yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and existing public code are the clearest current signals for AssemblyAI.
Package pull
4.0M/30d
Tracked package pull across npm and PyPI
Existing public code
12
Public repositories importing tracked packages
Downstream usage
172
Known dependent packages across both registries
GitHub attention
202
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 13, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to AssemblyAI.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
AssemblyAI offers speech-to-text and audio intelligence. Used for transcription, sentiment analysis, and more.
Raised $108M total - DAI rank #54 suggests moderate developer adoption relative to funding.
Accel
Insight Partners
Accel
16K npm · 23K PyPI(50% of company total)
Speech AI platform. Transcription, summarization, and audio analysis.
16K npm · 23K PyPI(50% of company total)
Identifies and flags inappropriate, harmful, or sensitive content within audio streams and recordings.
Analyzes the emotional tone and sentiment (positive, negative, neutral) expressed in spoken audio.
High-accuracy API for converting spoken audio into text, supporting various languages and audio formats.
Generates concise summaries from audio and video content, extracting key information and main points.
Automatically identifies and categorizes key topics and themes present in spoken language.
Public pricing snapshots collected for AssemblyAI
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for AssemblyAI
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 20, 2026 | - | - | - |
| Mar 22, 2026 | 145.7K | 355.6K | 202 |
| Mar 27, 2026 | - | - | - |
| Mar 29, 2026 | 245.6K | 344.8K | 204 |
| Apr 3, 2026 | - | - | - |
| Apr 5, 2026 | 225.3K | 338.5K | 204 |
| Apr 10, 2026 | - | - | - |
| Apr 11, 2026 | - | - | - |
| Apr 12, 2026 | 162.9K | 238.1K | 203 |
| Apr 13, 2026 | 15.6K | 23.3K | 202 |