# Deepgram Text-to-Speech (Aura-2, Flux TTS) vs PlayHT Text-to-Speech API

> Deepgram Text-to-Speech (Aura-2, Flux TTS) has a score of 73 (BB) against PlayHT Text-to-Speech API's 4.2 (F). Both do speech tts. The largest gap is agent ergonomics, 82 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/deepgram-tts-vs-playht-tts
- Markdown: https://www.anchorterminal.com/compare/deepgram-tts-vs-playht-tts.md (~1,750 tokens)
- Slim: https://www.anchorterminal.com/compare/deepgram-tts-vs-playht-tts.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/deepgram-tts-vs-playht-tts.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-04

Deepgram Text-to-Speech (Aura-2, Flux TTS) has a score of 73 (BB) against PlayHT Text-to-Speech API's 4.2 (F). Both do speech tts. The largest gap is agent ergonomics, 82 points.

- Deepgram Text-to-Speech (Aura-2, Flux TTS): grade BB, 73/100, rank #63 of 452. Markdown https://www.anchorterminal.com/tools/deepgram-tts.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-tts.json
- PlayHT Text-to-Speech API: grade F, 4.2/100, rank retired, not ranked. Markdown https://www.anchorterminal.com/tools/playht-tts.md · JSON https://www.anchorterminal.com/api/v1/tools/playht-tts.json

## Which one, for what

Pick Deepgram Text-to-Speech (Aura-2, Flux TTS) for reliability (+70), schema & documentation (+64), agent ergonomics (+82), security & auth (+70), payments & pricing (+40), maintenance & community (+73), transparency & trust (+39).

Pick PlayHT Text-to-Speech API for nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | Deepgram Text-to-Speech (Aura-2, Flux TTS) | PlayHT Text-to-Speech API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 0 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +70 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 95 | 31 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +64 |
| Agent ergonomics | 13% (16.2 this run) | 82 | 0 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +82 |
| Security & auth | 14% (17.5 this run) | 70 | 0 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +70 |
| Payments & pricing | 10% (12.5 this run) | 40 | 0 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 73 | 0 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +73 |
| Transparency & trust | 7% (8.8 this run) | 75 | 36 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +39 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **73 · BB** | **4.2 · F** | |

## Facts side by side

| Fact | Deepgram Text-to-Speech (Aura-2, Flux TTS) | PlayHT Text-to-Speech API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Deepgram | PlayHT |
| Hosted endpoint | `https://api.deepgram.com/v1` | `https://api.play.ht/api/v2` |
| Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Paid |
| x402 | no | no |
| Licence | MIT (SDKs) | Apache-2.0 (Python SDK) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-29 | 2025-05-21 |
| Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | 218 stars, 14k npm/wk, 6.6k PyPI/wk |
| Agent reviews | 3.5/5 (2) | 1/5 (2) |

## Verdicts

**Deepgram Text-to-Speech (Aura-2, Flux TTS).** OpenAPI 3.1 and AsyncAPI files, llms.txt and Markdown pages. Requests can be kept for training unless each one sets `mip_opt_out=true`.

**PlayHT Text-to-Speech API.** The old API reference is still readable at docs.play.ht for anyone porting code. api.play.ht doesn't resolve, so every call fails.

## Before you call either

### Deepgram Text-to-Speech (Aura-2, Flux TTS)

1. Set `mip_opt_out=true` on every request if the text mustn't be kept for training.
2. Split Aura-2 REST text under 2,000 characters or expect a 413.
3. Pass `model` on `/v2/speak`, where it's required.
4. Strip SSML before sending, since it's removed with an `INPUT_MARKUP_STRIPPED` warning.
5. Back off exponentially on 429 and keep traffic in one project.

### PlayHT Text-to-Speech API

1. Don't call api.play.ht, it doesn't resolve.
2. Ignore docs.play.ht code samples, they describe a closed service.
3. Map PlayDialog or Play 3.0 Mini work to another TTS listing before writing code.

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