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Updated 13 Nov 2026 · prices read on vendor pages

15 best Speechify alternatives in 2027

Mehmet ElmicenniReviewed by Mehmet Elmicenni, founder of Zekai•Prices checked •How we check

The short answer

The best Speechify alternatives in 2027 are ElevenLabs (best overall, $6/mo), Fish Audio (best free plan: 8,000 credits monthly) and Piper (best open source, GPL-3.0-or-later). Speechify itself starts at $29/mo. Zekai checked these prices on vendor pages on 11 Nov 2026; 12 more are compared below, including 3 with a free plan and 7 open source.

15alternatives compared
5with a free plan
8open source
$5/mocheapest paid · Voicemaker
$29/moSpeechify starts at
01 · Zekai Price Ledger

Which Speechify alternatives are worth it in 2027?

Speechify competes with ElevenLabs, Murf.ai and WellSaid Labs for voice generation, and with open options such as VoxCPM and Sherpa-ONNX for self-hosting. Voicemaker has the lowest monthly entry price we could read. Most rivals sell voiceover credits, while Speechify is mainly a reader that speaks your own documents.

ToolTypeStarting priceFree plan limitBest forCost for your teamChecked
Speechify logo
SpeechifyThe tool you are replacing
You are here
$29/moPremium, monthly
10 voices, up to 1.5x speed Listening to documents and web pages aloud — 11 Nov 2026 Pricing ↗
ElevenLabs logo
ElevenLabs Zekai score 9.2Best overall
Free plan + paid
$6/moStarter, monthly (after $1 first month)
10k credits per month, about 10 minutes Realistic voices for narration and apps — 11 Nov 2026 Pricing ↗
Murf.ai logo
Murf.ai Zekai score 8.5
Not checked
No free plan Studio voiceovers for video and slides — 14 Nov 2026
WellSaid Labs logo
WellSaid Labs Zekai score 8.2
Free plan + paid
$19/moStarter, monthly
3 download minutes per month, no commercial rights Commercial voiceover for teams — 11 Nov 2026 Pricing ↗
Fish Audio logo
Fish Audio Zekai score 7.9Best free plan
Free plan + paid
$11/moPlus, monthly
8,000 credits monthly, 500 characters per generation Cloned voices on a generous free tier — 11 Nov 2026 Pricing ↗
Voicemaker logo
Voicemaker Zekai score 7.5Cheapest paid
Free plan + paid
$5/moStarter, monthly
250 characters per conversion, personal use Low-cost text-to-audio conversions — 11 Nov 2026 Pricing ↗
Notevibes logo
Notevibes Zekai score 6.4
$15.83/mo billed yearlyPersonal, billed yearly ($190)
No free plan Credit-based TTS with a personal plan — 11 Nov 2026 Pricing ↗
Resemble AI logo
Resemble AI Zekai score 8.4
Free plan + paid
$350/moTeam, monthly
Flex: pay per use, no subscription fee Custom and cloned voices for developers — 11 Nov 2026 Pricing ↗
Piper logo
Piper Zekai score 7.5Best open source
Open source
Free (self-hosted)
No limit, self-hosted (GPL-3.0-or-later) Offline voices used by Home Assistant and NVDA $0 14 Nov 2026 Code ↗
Kokoro logo
Kokoro Zekai score 5.8
Open source
Free (self-hosted)
No limit, self-hosted (Apache-2.0) Small open voice model with Apache weights $0 14 Nov 2026 Code ↗
sherpa-onnx logo
sherpa-onnx Zekai score 7.5
Open source
Free (self-hosted)
No limit, self-hosted (Apache-2.0) Offline TTS inside mobile and embedded apps $0 14 Nov 2026 Code ↗
VoxCPM logo
VoxCPM Zekai score 7.7
Open source
Free (self-hosted)
No limit, self-hosted (Apache-2.0) Multilingual voice cloning and voice design $0 14 Nov 2026 Code ↗
Chatterbox logo
Chatterbox Zekai score 7.2
Open source
Free (self-hosted)
No limit, self-hosted (MIT) MIT-licensed voice agents with laugh tags $0 14 Nov 2026 Code ↗
Coqui TTS (Idiap fork) logo
Coqui TTS (Idiap fork) Zekai score 6.8
Open source
Free (self-hosted)
No limit, self-hosted (MPL-2.0) Maintained fork of the original Coqui toolkit $0 14 Nov 2026 Code ↗
F5-TTS logo
F5-TTS Zekai score 6.8
Open source
Free (self-hosted)
No limit, self-hosted (MIT) Flow-matching TTS driven by reference audio $0 14 Nov 2026 Code ↗
WhisperSpeech logo
WhisperSpeech Zekai score 6.3
Open source
Free (self-hosted)
No limit, self-hosted (MIT) Commercially safe TTS trained on licensed data $0 14 Nov 2026 Code ↗

Every price was read on the vendor's own pricing page on the date shown. The Cost Finder assumes one entry plan per person, so it multiplies by your team size; yearly prices are shown per month, and team or business plans can cost more per seat. "Not checked" means we could not confirm a public price.

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02 · Free plan

Is there a free version of Speechify?

Yes. Speechify has a free plan with 10 voices described as robotic-sounding, listening speeds up to 1.5x and text-to-speech features only. Premium adds 1000+ voices, 60+ languages, 5x listening speeds and AI summaries, and costs $29 a month or $139 billed yearly.

Source: Speechify pricing page, read 11 Nov 2026.

Free$0

10 voices, up to 1.5x speed

Paid from$29/mo

Premium, monthly

03 · Free alternatives

What are the best free Speechify alternatives?

Fish Audio's free tier lists 8,000 credits a month, and ElevenLabs lists 10k credits a month, though Fish Audio's FAQ limits free output to non-commercial use. Voicemaker's free plan allows 250 characters per conversion for personal use. Speechify's own free plan has 10 voices at up to 1.5x speed.

ElevenLabs logo

ElevenLabs

Best overallFree plan + paid
10k credits per month, about 10 minutes
Paid from $6/mo
WellSaid Labs logo

WellSaid Labs

Free plan + paid
3 download minutes per month, no commercial rights
Paid from $19/mo
Fish Audio logo

Fish Audio

Best free planFree plan + paid
8,000 credits monthly, 500 characters per generation
Paid from $11/mo
Voicemaker logo

Voicemaker

Cheapest paidFree plan + paid
250 characters per conversion, personal use
Paid from $5/mo
Resemble AI logo

Resemble AI

Free plan + paid
Flex: pay per use, no subscription fee
Paid from $350/mo
04 · Open source

What are the best open-source Speechify alternatives?

Open-source options for reading text aloud, instead of Speechify, are Piper (GPL-3.0), Kokoro (Apache-2.0), sherpa-onnx (Apache-2.0), VoxCPM (Apache-2.0), Chatterbox (MIT), Coqui TTS (MPL-2.0), F5-TTS (MIT code) and WhisperSpeech (MIT). They are libraries, not reader apps; F5-TTS's pre-trained models are non-commercial.

Piper logo

Piper

GPL-3.0-or-later★ 6.3k GitHub stars · 13 Nov 2026
To self-host: Install with pip install piper-tts; the engine embeds espeak-ng for phonemization and offers a command-line interface, an HTTP web server, a Python API and a C/C++ library.
Commercial use
Yes; GPL-3.0 copyleft applies if you distribute it; each voice has its own licence.
Runs on
Local engine installed with pip; the README lists no GPU or RAM figure.
Setup
Moderate · pip install piper-tts, then download a voice model.
Last commit
13 Nov 2026
Last release 4 Sep 2026
Kokoro logo

Kokoro

Apache-2.0★ 10.1k GitHub stars · 13 Nov 2026
To self-host: Python library: pip install kokoro, install espeak-ng, then call KPipeline with a language code and a voice such as af_heart; audio comes out at 24 kHz for you to save.
Commercial use
Yes; the code and the model weights are Apache-2.0.
Runs on
82M-parameter model installed with pip plus espeak-ng; Apple MPS acceleration is supported.
Setup
Moderate · pip install kokoro, install espeak-ng, then a few lines of Python.
Last commit
6 Aug 2025
sherpa-onnx logo

sherpa-onnx

Apache-2.0★ 15.9k GitHub stars · 13 Nov 2026
To self-host: Offline toolkit for speech synthesis, recognition and diarization on x86, ARM and RISC-V CPUs, Android, iOS, WebAssembly, NodeJS and Raspberry Pi; you download pretrained models per task and language.
Commercial use
Yes (Apache-2.0).
Runs on
x86 or ARM CPUs on Linux, macOS, Windows, Android, iOS, Raspberry Pi.
Setup
Moderate · Install a language package, then download a pretrained model for TTS.
Last commit
13 Nov 2026
Last release 11 Nov 2026
VoxCPM logo

VoxCPM

Apache-2.0★ 42.4k GitHub stars · 13 Nov 2026
To self-host: pip install voxcpm in Python 3.10-3.12 with PyTorch 2.5+ and CUDA 12+; includes a web demo (app.py) and optional vLLM serving; the 2B VoxCPM2 model outputs 48 kHz audio.
Commercial use
Yes; the README says weights and code are Apache-2.0, free for commercial use.
Runs on
Python 3.10-3.12, PyTorch 2.5+, CUDA 12+; CPU and Apple MPS are selectable.
Setup
Hard · Needs a CUDA-ready PyTorch environment, then pip install voxcpm.
Last commit
9 Nov 2026
Last release 11 May 2026
Chatterbox logo

Chatterbox

MIT★ 27.8k GitHub stars · 13 Nov 2026
To self-host: pip install chatterbox-tts in Python 3.11, then load the Turbo (350M) or Nano (110M) model with device set to cuda, cpu or mps; Turbo supports paralinguistic tags such as [laugh].
Commercial use
Yes (MIT); the README adds a watermark to every output file.
Runs on
Nano (110M) runs on CPU, 3x real-time on 8 cores; others want CUDA.
Setup
Moderate · pip install chatterbox-tts; the README develops on Python 3.11.
Last commit
4 Nov 2026
Last release 13 Jun 2025
Coqui TTS (Idiap fork) logo

Coqui TTS (Idiap fork)

MPL-2.0★ 2.4k GitHub stars · 13 Nov 2026
To self-host: Install the coqui-tts package with uv or pip after PyTorch, then use the command line, the Python API or the built-in server; models cover 1,100+ languages and XTTS-v2 covers 17.
Commercial use
Yes for the code (MPL-2.0); check each model's own licence, including XTTS.
Runs on
Python 3.10 to 3.14 with PyTorch; the README gives no VRAM figure.
Setup
Moderate · uv pip install coqui-tts after installing PyTorch; models download on use.
Last commit
13 Nov 2026
Last release 19 Oct 2026
F5-TTS logo

F5-TTS

MIT★ 15.6k GitHub stars · 13 Nov 2026
To self-host: Install a PyTorch build for your Nvidia, AMD or Intel GPU, then pip install f5-tts, or use the Docker image; a Gradio web interface and command-line tool are included.
Commercial use
No for the pre-trained models (CC-BY-NC); the code itself is MIT.
Runs on
Nvidia, AMD or Intel GPU through PyTorch; a Docker image with --gpus=all is provided.
Setup
Hard · Install the right PyTorch build for your GPU first, then pip install f5-tts.
Last commit
3 Nov 2026
Last release 23 Jul 2026
WhisperSpeech logo

WhisperSpeech

MIT★ 4.7k GitHub stars · 13 Nov 2026
To self-host: Open Whisper-inverted TTS system run from a Colab notebook or locally; the README lists English (LibreLight) as the current release, with a multilingual release still to come.
Commercial use
Yes; the README says code is Apache-2.0 or MIT and training data is licensed.
Runs on
README reports 12x real-time on an RTX 4090; no minimum is stated.
Setup
Moderate · Run the Colab notebook, or run the notebook locally.
Last commit
8 Jun 2025
05 · Side by side

How does Speechify compare with each alternative?

Speechify Premium costs $29 a month or $139 billed yearly. Voicemaker Starter is $5 a month, ElevenLabs Starter $6, Fish Audio Plus $11, and WellSaid Starter $19. Murf and LOVO prices could not be read. These tools differ in purpose: Speechify reads documents, while most rivals generate downloadable voiceovers.

01
ElevenLabs logo

Speechify vs ElevenLabs

Best overallFree plan + paid$6/mo · checked 11 Nov 20269.2
The differenceElevenLabs sells credits and Studio projects: its free plan lists 10k credits a month and 3 Studio projects, and a Business tier cites low-latency TTS, where Speechify's free tier is capped at 10 voices.
Switch to ElevenLabs ifyou want to generate voiceovers or product audio with credit-based plans and an API.
Stay with Speechify ifyou mainly want to listen to PDFs, articles and books on your phone with a reader app.
Pros
  • Industry-leading voice realism and expressiveness for ads
  • Dedicated 'ElevenAgents' platform for e-commerce customer support
Cons
  • Credit-based pricing can be complex to budget for campaigns
  • Free tier is limited and lacks a commercial license

Pros and cons from the Zekai review of ElevenLabs · Verdict: Scalable E-commerce Audio

02
Murf.ai logo

Speechify vs Murf.ai

Not checked8.5
The differenceMurf positions itself as a voiceover studio with 120+ voices in 20 languages per its page metadata; its plan table needs JavaScript and could not be read, so prices are unverified.
Switch to Murf.ai ifyou produce voiceovers synced to slides or video and want a studio-style editor.
Stay with Speechify ifyou want a listening app that reads existing documents aloud with sync across devices.
Pros
  • Reduces voiceover production time significantly, with claims of up to 95%.
  • Seamless integration with key e-learning authoring tools like Captivate and PowerPoint.
Cons
  • Advanced voice customization for emotional delivery can have a steep learning curve.
  • The free plan is limited, requiring a paid subscription for most professional course development.

Pros and cons from the Zekai review of Murf.ai · Verdict: Top-Tier E-Learning Voiceover

03
WellSaid Labs logo

Speechify vs WellSaid Labs

Free plan + paid$19/mo · checked 11 Nov 20268.2
The differenceWellSaid's Starter plan lists $19 a month for one seat, with seats up to 5 on Business at $160 per user, and its free trial gives 3 download minutes with no commercial rights.
Switch to WellSaid Labs ifyou need commercial voiceover for training or marketing with a team seat structure.
Stay with Speechify ifyou want a reader for your own content rather than downloadable voiceover audio.
Pros
  • Reduces narration production time from hours to minutes.
  • Voices are modeled on real actors, delivering natural, non-robotic results.
Cons
  • Download minutes are limited on lower-tier plans, requiring careful usage.
  • Business plan is billed annually only, lacking monthly flexibility.

Pros and cons from the Zekai review of WellSaid Labs · Verdict: Studio-Grade AI Narration

04
Fish Audio logo

Speechify vs Fish Audio

Best free planFree plan + paid$11/mo · checked 11 Nov 20267.9
The differenceFish Audio's free tier lists 8,000 monthly credits capped at 500 characters per generation, and its FAQ limits free output to non-commercial use, unlike Speechify's fixed 10-voice free set.
Switch to Fish Audio ifyou want a free monthly credit pool and voice cloning without paying first.
Stay with Speechify ifyou want a polished reader app with document scanning and AI summaries.
Pros
  • Fine-grained emotional control using simple text tags (e.g., [angry], [whispering])
  • Extremely fast voice cloning requires only a few seconds of source audio
Cons
  • Free plan is for personal use only; commercial use requires a paid subscription
  • Relies on a community library, which may have variable voice quality among the 2M+ options

Pros and cons from the Zekai review of Fish Audio · Verdict: Expressive AI Voice Generation

05
Voicemaker logo

Speechify vs Voicemaker

Cheapest paidFree plan + paid$5/mo · checked 11 Nov 20267.5
The differenceVoicemaker's Starter plan is $5 a month with commercial use included, and its free plan caps each conversion at 250 characters for personal use only.
Switch to Voicemaker ifyou want the lowest monthly price with commercial rights for short text-to-audio jobs.
Stay with Speechify ifyou want continuous listening of long documents rather than short pasted-text conversions.
Pros
  • Extensive library of voices and languages.
  • Generous free-forever plan for basic use cases.
Cons
  • Credit system can be confusing; premium voices consume characters at 2x or 4x rates.
  • Free plan is limited to 250 characters per conversion.

Pros and cons from the Zekai review of Voicemaker · Verdict: Versatile Multilingual TTS

06
Notevibes logo

Speechify vs Notevibes

$15.83/mo billed yearly · checked 11 Nov 20266.4
The differenceNotevibes sells a Personal plan with 6M TTS credits for $190 a year and a separate Pro plan with full commercial usage rights, and its pricing page shows no free plan.
Switch to Notevibes ifyou prefer a large yearly credit bundle for text-to-speech and a one-time credit pack option.
Stay with Speechify ifyou want a free plan and a mobile reading app rather than yearly credit bundles.
Pros
  • Generous free plan with no credit card and no watermarks.
  • Extensive library of 2,600+ voices and 130+ languages.
Cons
  • Credit-based system can be confusing for estimating project costs.
  • Team features are limited to the Pro plan (up to 5 members).

Pros and cons from the Zekai review of Notevibes · Verdict: Versatile AI Narration Studio

07
Resemble AI logo

Speechify vs Resemble AI

Free plan + paid$350/mo · checked 11 Nov 20268.4
The differenceResemble's Flex plan has no subscription and charges per use, while its Team plan costs $350 a month, so it is priced for developers and companies rather than individual listeners.
Switch to Resemble AI ifyou need custom voice cloning or an API billed per use with no subscription.
Stay with Speechify ifyou are an individual who wants a low flat-rate listening app.
Pros
  • Integrated platform for voice generation, watermarking, and detection.
  • Industry-leading deepfake detection accuracy (99.5%).
Cons
  • Pay-per-second pricing can become costly and unpredictable for large-scale projects.
  • The interface and feature set are complex, geared more towards developers and technical users.

Pros and cons from the Zekai review of Resemble AI · Verdict: Deepfake detection

08
Piper logo

Speechify vs Piper

Best open sourceOpen sourceFree (self-hosted)7.5
The differencePiper is a GPL-3.0 engine with a command line, HTTP server and C/C++ library, and its README says the Open Home Foundation is looking for new maintainers.
Switch to Piper ifyou want an offline engine that Home Assistant and screen-reader users already run
Stay with Speechify ifyou want a hosted voice library and editor instead of running a command-line engine
09
Kokoro logo

Speechify vs Kokoro

Open sourceFree (self-hosted)5.8
The differenceKokoro is an 82-million-parameter model whose weights are Apache-licensed, so you can ship it in a product without a licence fee; voices are picked by name, such as af_heart.
Switch to Kokoro ifyou want a small Apache-licensed voice model you can embed in your own product
Stay with Speechify ifyou want a hosted voice editor with a studio interface rather than a Python library
10
sherpa-onnx logo

Speechify vs sherpa-onnx

Open sourceFree (self-hosted)7.5
The differencesherpa-onnx is a toolkit rather than one voice: it runs TTS, speech recognition, speaker diarization and VAD offline, with builds for Android, iOS, WebAssembly and NodeJS.
Switch to sherpa-onnx ifyou want speech built into a mobile, web or small-device app with no cloud calls
Stay with Speechify ifyou want a finished voice-over studio rather than building an app around a toolkit
11
VoxCPM logo

Speechify vs VoxCPM

Open sourceFree (self-hosted)7.7
The differenceVoxCPM2 is a 2B-parameter model with 30 languages, voice design from a text description and cloning from a short clip, with Apache-2.0 weights and code.
Switch to VoxCPM ifyou want multilingual cloning or text-described voices with commercial-friendly Apache-2.0 weights
Stay with Speechify ifyou have no CUDA-capable GPU and want voices without setting up PyTorch
12
Chatterbox logo

Speechify vs Chatterbox

Open sourceFree (self-hosted)7.2
The differenceChatterbox embeds Resemble AI's PerTh watermark in every file it generates, and its README says the code now stays public as an archive with no support or updates.
Switch to Chatterbox ifyou want an MIT-licensed model with paralinguistic tags like [laugh] and a CPU-capable Nano variant
Stay with Speechify ifyou need a vendor that supports and updates its voices rather than an archived repository
13
Coqui TTS (Idiap fork) logo

Speechify vs Coqui TTS (Idiap fork)

Open sourceFree (self-hosted)6.8
The differenceThis Idiap fork continues the original Coqui repository, which its README calls unmaintained, and offers training tools, dataset utilities and pre-trained models in over 1,100 languages.
Switch to Coqui TTS (Idiap fork) ifyou want a trainable TTS toolkit with many languages and a maintained package on PyPI
Stay with Speechify ifyou want finished voices and a web editor instead of a library you assemble yourself
14
F5-TTS logo

Speechify vs F5-TTS

Open sourceFree (self-hosted)6.8
The differenceF5-TTS code is MIT, but its README says the pre-trained models are CC-BY-NC because of the Emilia training data, which rules out commercial output.
Switch to F5-TTS ifyou want to experiment with a flow-matching model and only need non-commercial audio
Stay with Speechify ifyou publish voice work commercially and need a licence that covers the voices you generate
15
WhisperSpeech logo

Speechify vs WhisperSpeech

Open sourceFree (self-hosted)6.3
The differenceWhisperSpeech inverts OpenAI Whisper to make speech, says its models are trained only on properly licensed data, and currently ships English only.
Switch to WhisperSpeech ifyou want TTS trained only on licensed data and can work with English voices
Stay with Speechify ifyou need many languages today and a maintained product rather than a research codebase
06 · What changed

Why do people leave Speechify?

  • Speechify's free plan is limited to 10 voices and speeds up to 1.5x, while the 1000+ voices, 60+ languages and 5x speeds are Premium-only. (source)

  • Speechify Premium is priced at $29 per month billed monthly or $139 billed yearly, a gap the pricing page frames as saving 60% on the annual toggle. (source)

08 · FAQ

Questions people ask about Speechify alternatives

What is the best alternative to Speechify in 2027?

ElevenLabs is the best overall Speechify alternative on this page ($6/mo). For no cost, Fish Audio has a free plan (8,000 credits monthly, 500 characters per generation). To self-host, Piper is open source (GPL-3.0-or-later).

Is there a free version of Speechify?

Yes. Speechify has a free plan: 10 voices, up to 1.5x speed. Paid plans start at $29/mo, checked on 11 Nov 2026.

Is there a 100% free alternative to Speechify?

Yes. Piper, Kokoro, sherpa-onnx, VoxCPM, Chatterbox, Coqui TTS (Idiap fork), F5-TTS, WhisperSpeech are open source and free to self-host. ElevenLabs, WellSaid Labs, Fish Audio, Voicemaker, Resemble AI have a free plan with limits, shown in the table.

What is cheaper than Speechify?

Voicemaker starts at $5/mo, against $29/mo for Speechify, as listed on each vendor's pricing page on 11 Nov 2026.

How much do Speechify alternatives cost for a team of 5?

If each of 5 people buys the entry paid plan, at the prices Zekai checked on 11 Nov 2026, the monthly cost is Voicemaker $25/mo, ElevenLabs $30/mo, Fish Audio $55/mo, against Speechify $145/mo for Speechify. Team and business plans can cost more per seat. The Zekai Cost Finder on this page recalculates for any team size.

Which is better, ElevenLabs or Speechify?

ElevenLabs sells credits and Studio projects: its free plan lists 10k credits a month and 3 Studio projects, and a Business tier cites low-latency TTS, where Speechify's free tier is capped at 10 voices. Choose ElevenLabs if you want to generate voiceovers or product audio with credit-based plans and an API. Stay with Speechify if you mainly want to listen to PDFs, articles and books on your phone with a reader app.

Why are people leaving Speechify?

The documented reasons are: Speechify's free plan is limited to 10 voices and speeds up to 1.5x, while the 1000+ voices, 60+ languages and 5x speeds are Premium-only (11 Nov 2026); Speechify Premium is priced at $29 per month billed monthly or $139 billed yearly, a gap the pricing page frames as saving 60% on the annual toggle (11 Nov 2026). Each is sourced in the section above.

What is better than Speechify?

It depends on the job. ElevenLabs and Fish Audio suit people generating voiceovers or cloned voices, while open projects like VoxCPM suit self-hosting.

09 · Method

How did Zekai check this page?

Zekai independently reviews AI tools. For this page we read each vendor's own pricing and product pages and recorded the starting price, the free-plan limit and the date of the check. Only tools that do the same job as Speechify are listed, and sponsors never change the order or the scores.

1 · Same job onlyEvery alternative does the same task as Speechify; tools for other jobs are left out.
2 · Vendor pages onlyPrices and free limits come from each vendor's own pricing page, never from blogs.
Zekai score0–10, from four published weights: ease 25%, output quality 30%, value 20%, time saved 25%. How we score
3 · Re-checkedA price older than 35 days is re-read or the page falls back to an older version.
Change log
  • Page rebuilt on v6; all prices re-read on vendor pages.

  • Open-source options expanded; each now shows licence, commercial use, hardware and setup.

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