Deepgram: 5.2M/30d package downloads; 134 importing repositories.
Category
Transcription
6 company pages · updated July 13, 2026
Transcription: 8.9M/30d package downloads and 146 public importing repos across 6 company pages.
- Companies
- 6
- Package downloads
- 8.9M/30d
- Public importing repos
- 146
- Hiring
- 1/30d
Overview
What stands out now
Transcription currently shows package usage at 8.9M/30d and public importing repos at 146.
Trend charts start at July 5, 2026 when historical category data is available.
Trends
Historical category data
Hacker News discussion
Historical Hacker News discussion recorded for this category over time.
Hacker News mentions grew from 26 to 49 (+88.5%) between Jan 31, 2026 and Jul 5, 2026.
Source: Hacker News Algolia API | Methodology | CC-BY-NC 4.0
View data table
| Date | Hacker News mentions |
|---|---|
| Jan 31, 2026 | 26 |
| Mar 2, 2026 | 2 |
| Apr 1, 2026 | 68 |
| May 1, 2026 | 67 |
| May 31, 2026 | 54 |
| Jun 30, 2026 | 49 |
| Jul 5, 2026 | 49 |
Disclosed funding
Cumulative disclosed funding raised by companies in this category over time.
Disclosed funding changed from $0 on Jan 31, 2026 to $333M on Jul 5, 2026.
Source: Public funding records | Methodology | CC-BY-NC 4.0
View data table
| Date | Disclosed funding |
|---|---|
| Jan 31, 2026 | $0 |
| Mar 2, 2026 | $333M |
| Apr 1, 2026 | $333M |
| May 1, 2026 | $333M |
| May 31, 2026 | $333M |
| Jun 30, 2026 | $333M |
| Jul 5, 2026 | $333M |
Company pages
Company pages in Transcription
Company pages with current public data in this category. The full table shows each metric.
#2 of 6 in Transcription
Speech AI platform. Transcription, summarization, and audio analysis.
AssemblyAI: 3.6M/30d package downloads; 12 importing repositories.
Gladia: 25.2K/30d package downloads.
Fireflies.ai: $19M disclosed funding.
Otter.ai: $63M disclosed funding.
Rev: 1/30d public hiring mentions.
Category data
Company data
Default sort shows category position inside Transcription. The availability row shows how many company pages currently have each metric. Unavailable means no public data is shown for that company metric.
Metric availability
Company pages with data shown
- Position
- 3 / 6
- Package downloads
- 3 / 6
- Public importing repos
- 3 / 6
- Hiring
- 6 / 6
- Funding
- 6 / 6
| Deepgram Speech-to-text API. Fast and accurate transcription for developers. | #1 | 5.2M | 134 | 0 | $86M |
| AssemblyAI Speech AI platform. Transcription, summarization, and audio analysis. | #2 | 3.6M | 12 | 0 | $108M |
| Gladia Enterprise speech-to-text API with speaker diarization | #3 | 25.2K | 0 | 0 | $20M |
| Fireflies.ai AI meeting assistant that transcribes and summarizes calls. | Unavailable | Unavailable | Unavailable | 0 | $19M |
| Otter.ai AI meeting assistant for real-time transcription and summaries | Unavailable | Unavailable | Unavailable | 0 | $63M |
| Rev AI-powered transcription, captioning, and subtitling services | Unavailable | Unavailable | Unavailable | 1 | $37M |
Rows link to company pages. Methodology explains package downloads, public importing repositories, hiring, and funding.
Questions
Common questions
Which Transcription AI companies have current public data?
Current company pages in Transcription include Deepgram (#1 of 6 in Transcription), AssemblyAI (#2 of 6 in Transcription), and Gladia (#3 of 6 in Transcription). Company pages include package downloads, public importing repositories, hiring, and funding data.
What current public package and code data shows up in Transcription?
Across 6 company pages, current public data shows 8.9M package downloads in the last 30 days, 398 known dependents, 146 public importing repos, and 1 recent hiring mentions. Data availability varies by company, so detail pages show what is present for each one.
How much funding have Transcription AI companies raised?
Transcription AI companies disclose $333M in combined funding across 6 companies with known rounds.
How much developer discussion shows up for Transcription?
The current data includes 48 Hacker News mentions across 4 companies in Transcription. Discussion is context, not the lead metric.
Where do I start with Transcription?
Notable data points: Deepgram shows the most package downloads, Deepgram shows the most public importing repositories, and Rev shows the most hiring visibility. The full table shows whether the category is concentrated or broad.
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