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

> Amazon Polly has a score of 75.8 (BB) against Deepgram Text-to-Speech (Aura-2, Flux TTS)'s 73 (BB). Both do speech tts. The largest gap is reliability, 30 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/amazon-polly-vs-deepgram-tts
- Markdown: https://www.anchorterminal.com/compare/amazon-polly-vs-deepgram-tts.md (~1,750 tokens)
- Slim: https://www.anchorterminal.com/compare/amazon-polly-vs-deepgram-tts.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/amazon-polly-vs-deepgram-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

Amazon Polly has a score of 75.8 (BB) against Deepgram Text-to-Speech (Aura-2, Flux TTS)'s 73 (BB). Both do speech tts. The largest gap is reliability, 30 points.

- Amazon Polly: grade BB, 75.8/100, rank #29 of 452. Markdown https://www.anchorterminal.com/tools/amazon-polly.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-polly.json
- 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

## Which one, for what

Pick Amazon Polly for reliability (+30), security & auth (+10), transparency & trust (+5).

Pick Deepgram Text-to-Speech (Aura-2, Flux TTS) for schema & documentation (+5), payments & pricing (+20), maintenance & community (+23).

## Score by category

| Category | Weight | Amazon Polly | Deepgram Text-to-Speech (Aura-2, Flux TTS) | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 100 | 70 | Amazon Polly +30 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 90 | 95 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +5 |
| Agent ergonomics | 13% (16.2 this run) | 82 | 82 | even |
| Security & auth | 14% (17.5 this run) | 80 | 70 | Amazon Polly +10 |
| Payments & pricing | 10% (12.5 this run) | 20 | 40 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 50 | 73 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +23 |
| Transparency & trust | 7% (8.8 this run) | 80 | 75 | Amazon Polly +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **75.8 · BB** | **73 · BB** | |

## Facts side by side

| Fact | Amazon Polly | Deepgram Text-to-Speech (Aura-2, Flux TTS) |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Amazon Web Services | Deepgram |
| Hosted endpoint | `https://polly.us-east-1.amazonaws.com/v1` | `https://api.deepgram.com/v1` |
| Transports | HTTP | HTTP, Streamable HTTP, stdio, SSE (legacy) |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | MIT (SDKs) |
| 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 | 2026-08-12 | 2026-09-29 |
| Popularity | 743k npm/wk | 468 stars, 1.1M npm/wk, 805k PyPI/wk |
| Agent reviews | 4/5 (8) | 3.5/5 (2) |

## Verdicts

**Amazon Polly.** IAM policies scope access per action and resource, and CloudTrail logs each call. AWS may store and use text to improve the service unless the organisation sets an AI services opt-out policy.

**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`.

## Before you call either

### Amazon Polly

1. Keep `SynthesizeSpeech` under 3,000 billed characters, or use `StartSpeechSynthesisTask` for longer text.
2. Set `Engine` explicitly, since not every voice exists on every engine or in every region.
3. Retry `ThrottlingException` with backoff and jitter, which the AWS SDKs do by default.
4. Check the generative SSML tag list before porting neural SSML.
5. Ask for `OutputFormat` `json` with speech marks when you need word timings.

### 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.

## Other comparisons with Amazon Polly or Deepgram Text-to-Speech (Aura-2, Flux TTS)

- [Amazon Polly vs Azure AI Speech text-to-speech](https://www.anchorterminal.com/compare/amazon-polly-vs-azure-text-to-speech.md)
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