AI Product Description Generator Cost Per SKU: Shopify Magic vs Describely vs Hypotenuse vs Copy.ai vs Writesonic vs Bertha vs OpenAI vs Claude (2026)

**Shopify Magic** is not really a standalone product. It is a feature set Shopify bolts onto every paid plan — generate product descriptions inline from the Admin, draft email subject lines, summarize reviews, write blog posts. There is no per-SKU meter and no usage cap that anyone has publicly hit, which is genuinely remarkable for an unlimited LLM feature (https://www.shopify.com/magic). The catch: Magic works inside Shopify only, the prompt UI is a small textarea with a tone dropdown, and you cannot script bulk runs. If you have ten new SKUs a week, this is the answer and you can stop reading. If you have a thousand, Magic forces a click-per-product workflow that costs more in labor than any SaaS subscription on this list.

**Describely** went the opposite direction. It is a purpose-built bulk SKU machine starting at $19/mo for 75 descriptions on the Starter plan, $39/mo for 250 on Pro, and $89/mo for 1,000 on Premium (https://describely.ai/pricing). The product accepts a CSV or pulls SKUs directly from Shopify, BigCommerce, WooCommerce or an Akeneo PIM, applies brand-voice and glossary rules per product line, and outputs descriptions, titles and meta tags in a single bulk run. The math gets interesting at Premium: $89 for 1,000 descriptions is $0.089/SKU — cheaper than any other SaaS on this list per unit, but you have to commit to the full 1,000 every month or the math reverts.

**Hypotenuse AI** is a long-form generator with a Product Description Generator preset and an image-to-text feature that lets you upload a product photo and have the model describe it. Pricing is by word: $29/mo Individual for 15,000 words, $59/mo Teams for 40,000 words, Enterprise custom (https://www.hypotenuse.ai/pricing). At 150 words per SKU, that is 100 SKUs on Individual or 266 on Teams — pricier per unit than Describely Premium but the multilingual export (30+ languages) is the moat. If you sell into Germany, France and Japan and want translated descriptions out of one tool, Hypotenuse is the cleanest answer.

**Copy.ai** and **Writesonic** are both "generalist" content platforms that happen to do product copy. Copy.ai Starter runs $36/mo, Advanced jumps to $186/mo (https://www.copy.ai/pricing). Writesonic offers a free tier, then $20/mo Small Team, with an Enterprise tier at $1,000/mo (https://writesonic.com/pricing). Both are over-priced for pure product description work — but if you also run email campaigns, ad copy and landing-page tests through the same tool, the per-seat cost amortizes across more workloads. Treat them as marketing workspaces with a side of product copy, not the other way around.

**Bertha AI** is the only entry on this list that lives inside WordPress as a Gutenberg + Classic editor plugin. Solo plan is $20/mo for 15,000 words, Scribe $30/mo for 50,000, Author $99/mo for 300,000 (https://bertha.ai/pricing). For a WooCommerce store with a small catalog, Bertha is the friction-free option: write inside the post editor you already use. The downside is no bulk runner — you generate one product at a time — and no SOC 2 of its own. **OpenAI GPT-4o-mini** and **Anthropic Claude Haiku 4.5** are the DIY end of the spectrum: $0.15 input / $0.60 output per million tokens for GPT-4o-mini and $1 input / $5 output per million for Haiku 4.5 (https://openai.com/api/pricing, https://www.anthropic.com/pricing). At ~200 tokens per 150-word description, that is $0.0008 per SKU on GPT-4o-mini and $0.005 on Haiku. The work is in the prompt, the eval and the integration.

**Shopify Magic** wins on integration because there isn't one — it is already in your Admin. Open a product, click "Generate description," type a few seed words, pick a tone, accept or edit. The friction is zero, the bulk capacity is zero. There is no Shopify Flow trigger that fans out across thousands of products, so for catalog refreshes you are clicking through every SKU manually or paying a developer to script the Admin GraphQL with their internal endpoints, which Shopify does not officially support (https://shopify.dev/docs/api/admin-graphql).

**Describely** has the most ecommerce-native workflow on the list. Connect your Shopify, BigCommerce, WooCommerce or Akeneo PIM, select 500 SKUs, apply a brand-voice profile, hit Generate, and Describely writes every description in parallel and writes them back to your store with the same approval queue you would use for human-written copy (https://describely.ai). The CSV import path handles offline catalogs the same way. This is the only tool here where "run a 1,000-SKU refresh on Monday morning" is a single action, not a multi-week project.

**Hypotenuse AI** offers bulk product upload via CSV plus a Shopify integration that pulls product data directly. The Teams tier and above unlock an API for programmatic generation (https://www.hypotenuse.ai/api), which is what you want if your PIM is the source of truth and Shopify is downstream. **Copy.ai** integrates via Zapier into nearly anything but does not have a first-class Shopify connector; its Workflows feature lets you build a multi-step pipeline (scrape competitor → analyze → write description → translate) that is more useful than the product description preset alone.

**Writesonic** ships a Shopify connector and a WordPress plugin, plus API access on Enterprise (https://writesonic.com/integrations). For a content-heavy store also pumping out blog posts, the connector earns its keep because the SEO checker and the product description tool live in the same workspace. **Bertha AI** doesn't integrate with anything outside WordPress — that is its identity and its limit. If your store is WooCommerce on your own host, Bertha is faster than any SaaS because you never leave the editor.

The DIY API path with **OpenAI** or **Anthropic Claude** is whatever you build. The typical architecture: a serverless function (Vercel, Cloudflare Workers, AWS Lambda) reads SKUs from your PIM, hits the LLM API with a brand-voice system prompt, optionally runs a second-pass quality check, and writes back via the Shopify Admin GraphQL or your PIM's API. Build cost is one week of senior engineering time, ~$8,000–$12,000 fully loaded. Operating cost is the token math: a 5,000-SKU catalog refresh on GPT-4o-mini costs $4 in tokens. The integration is the whole project, but the unit economics are the best on this list by a factor of ~30x against Describely Premium and ~250x against Copy.ai Advanced.

Sticker price lies. The honest comparison is cost per generated SKU at the volume you actually run. At 100 SKUs/month: **Shopify Magic** is $0 marginal (your Shopify plan was already paid). **Describely** Starter at $19/mo with a 75-SKU cap forces you to Pro at $39 for 250 — call it $0.39/SKU if you only use 100, or $0.156/SKU if you use the full 250 (https://describely.ai/pricing). **Hypotenuse AI** Individual at $29 covers 100 SKUs exactly — $0.29/SKU. **Copy.ai** Starter at $36 = $0.36/SKU. **Writesonic** Small Team at $20 = $0.20/SKU. **Bertha AI** Solo at $20 = $0.20/SKU. **OpenAI GPT-4o-mini** = $0.08 total for the whole batch. **Claude Haiku 4.5** = $0.50 total.

At 1,000 SKUs/month the picture inverts. **Shopify Magic** still $0 marginal — but the labor cost of 1,000 clicks at 90 seconds each is 25 hours, or $625 at a $25/hr copywriter rate, which makes it the most expensive option by a wide margin. **Describely** Premium at $89 = $0.089/SKU — by far the cheapest SaaS unit cost on the list (https://describely.ai/pricing). **Hypotenuse AI** needs 150,000 words/month, which exceeds the $59 Teams tier (40k words) — you are looking at custom Enterprise pricing, probably $200–400/mo, $0.20–0.40/SKU. **Copy.ai** Advanced at $186 = $0.19/SKU. **Writesonic** Enterprise quote required. **Bertha AI** Author at $99 covers 2,000 descriptions = $0.05–0.10/SKU. **OpenAI** = $0.80 total. **Claude Haiku** = $5 total.

At 10,000 SKUs (a full catalog refresh for a mid-market brand): **Describely** would require a custom Enterprise quote — call your account manager. **Hypotenuse** Enterprise tier. **Copy.ai** Advanced is capacity-capped, push to Enterprise. **Writesonic** Enterprise at $1,000/mo = $0.10/SKU if you fit in one billing month (https://writesonic.com/pricing). **OpenAI GPT-4o-mini** via Batch API at 50% discount = $4 total, or $0.0004/SKU. **Claude Haiku** via Message Batches = $25 total, or $0.0025/SKU. The DIY APIs are not just cheaper, they are cheaper by 25x–500x at this scale, and that gap will widen — token prices keep falling, SaaS prices keep rising.

Two pricing traps to call out. First: word-quota plans (**Hypotenuse**, **Bertha**, free **Writesonic**) bill on input + output combined or output only depending on vendor, and "15,000 words" sounds like a lot until you realize a single description regeneration burns through the budget on the second attempt. Assume 50% effective utilization unless you have a great prompt — that halves your real description count. Second: **Copy.ai**'s seat-based pricing rewards solo users and punishes teams. The $36 Starter is 5 seats but with shared usage caps that throttle at 100 brand voices and 2,000 workflow credits; the real price for a 5-person ecom team is closer to $186/mo Advanced (https://www.copy.ai/pricing).

The cheapest credible path for a high-volume catalog refresh is, by a wide margin, **OpenAI GPT-4o-mini** via the Batch API: $0.075 input + $0.30 output per million tokens (50% discount), 24-hour SLA, and the same quality as the synchronous endpoint (https://platform.openai.com/docs/guides/batch). The cheapest fully-managed path for ongoing per-SKU generation is **Describely** Premium at $0.089/SKU, no engineering required. The cheapest path for a Shopify merchant under 200 SKUs/month is **Shopify Magic** with a quick keyboard-shortcut workflow. Everything else is a positioning play on adjacent workloads.

Single Shopify store, fewer than 200 SKUs, marketing-led team, no engineering: use **Shopify Magic**. It is already paid for, the quality is fine for short descriptions, and the click-through workflow is faster than learning a new tool for a workload this small (https://www.shopify.com/magic). Save the budget for a copywriter to polish hero products. Do not pay $19+/mo for Describely when your product can be solved with a free feature you already have. The break-even tipping point is roughly 250 SKUs/month — below that, Magic wins on TCO once you factor in tool-switching cost.

Mid-market Shopify or BigCommerce, 500–10,000 SKUs, seasonal refreshes, dedicated ecom operator: use **Describely** Premium at $89/mo (https://describely.ai/pricing). The bulk runner, brand-voice profiles, glossary lock and PIM integration are all built for exactly this shape. Hypotenuse is close on capability but more expensive per SKU. Copy.ai and Writesonic are overpriced for pure description work. The ROI math: $89/mo replaces ~$1,500/mo in freelance copywriter spend for a 1,000-SKU monthly refresh — payback in week one.

Multilingual catalog, 1,000+ SKUs across 3+ languages, EU + APAC markets: use **Hypotenuse AI** Teams at $59/mo or Enterprise (https://www.hypotenuse.ai/pricing). Hypotenuse is the only tool here where multilingual product copy is a first-class workflow rather than "generate in English then run through Google Translate." The image-to-text feature is also genuinely useful for catalogs where SKUs lack good descriptive metadata — upload the product photo, get a draft description. Pair with Describely if you also need bulk runs in English; the two tools cost less combined than Copy.ai Advanced alone.

WordPress/WooCommerce solo or small agency, under 500 SKUs: use **Bertha AI** Solo or Scribe at $20–30/mo (https://bertha.ai/pricing). It lives inside the editor you already use, the per-product workflow is fine for sub-500 catalogs, and there is no other tool on this list that fits this stack as cleanly. The data residency story is weaker (you inherit your WordPress host's posture), so if you sell into regulated markets you may need to add a separate review pass — but for most WooCommerce stores Bertha is the right answer.

Engineering-led brand, 5,000+ SKUs, multiple stores, willing to own a pipeline: build on **OpenAI GPT-4o-mini** via Batch API ($0.0004/SKU at 50% discount) or **Anthropic Claude Haiku 4.5** ($0.0025/SKU) (https://openai.com/api/pricing, https://www.anthropic.com/pricing). The upfront engineering cost is ~$10,000 in build time; the per-refresh operating cost is in the single-digit dollars. At this volume, every SaaS on this list is paying for features you do not need (workflow UIs, brand-voice toggles you could put in your system prompt, multi-seat permissions). Use the OpenAI API cost calculator to model your exact volume before committing.

Every tool on this list can produce a 150-word product description in under three seconds. None of them, by default, can tell you whether the description is accurate, on-brand, or compliant with FTC endorsement guidelines (https://www.ftc.gov/business-guidance/advertising-marketing). The real cost of an AI description generator is not the $20/mo subscription — it is the cost of a bad description that goes live unreviewed. A 2025 e-commerce survey by Statista put the average return rate for apparel and accessories at 24.4% and cited "description did not match product" as the #2 reason after sizing (https://www.statista.com/statistics/272391/share-of-merchandise-returned-by-product-category). Bad copy directly funds your returns line.

**Describely** has the strongest built-in eval story: brand-voice profiles with required keyword lists, banned phrase lists, and a glossary lock that prevents the model from substituting synonyms for trademarked terms (https://describely.ai/features). For a brand with strict legal review (vitamins, supplements, anything FDA-adjacent) this is the cheapest version of a compliance workflow you can buy off the shelf. **Hypotenuse AI** offers a similar brand-voice trainer but without the banned-phrase enforcement. **Shopify Magic** has tone presets and nothing else — no guardrails, no glossary, no compliance review.

**Copy.ai** and **Writesonic** both ship brand voice features but treat them as marketing flair rather than compliance infrastructure. Their brand voice is "sound like our blog," not "never say 'cures' or 'treats.'" For ecom-only workflows this is a meaningful gap. **Bertha AI** has style toggles (formal/casual/playful) and no persistent brand profile, which is fine for solo WordPress stores and inadequate for anything regulated.

The DIY API path is the most flexible and the most dangerous. With **OpenAI** or **Claude**, you write the system prompt, which means you can specify exact tone, banned phrases, required disclaimers, structured output schemas (JSON-mode) and even a second-pass quality check using a cheaper model as the evaluator. You can also ship a broken prompt and generate 10,000 wrong descriptions in twenty minutes. The right pattern is: build a 50-SKU eval set with human-graded "good" descriptions, write your prompt, generate against the eval set, score outputs with an LLM-as-judge, iterate until you hit 95%+ pass rate, only then run production. Skip this and the unit cost goes from $0.0008 to whatever returns cost you.

A practical eval setup that works across all eight tools: pick 20 hero SKUs with hand-written reference descriptions, generate each through your chosen tool, then have a second model (we recommend Claude Sonnet 4.5 at ~$0.003 per eval) grade on (a) factual accuracy against the product spec sheet, (b) brand voice match, (c) FTC/regulatory compliance, (d) length and structure. Total eval cost: ~$0.06 per tool tested. Time: 30 minutes. This is the single highest-ROI thing you can do before signing any SaaS contract on this list — it will save you months of post-launch cleanup and give you a defensible reason to standardize.

If you sell in the EU, the UK or California, where your product data is processed matters. **Shopify Magic** inherits Shopify's SOC 2 Type II and ISO 27001 posture and processes data in Shopify's primary US and EU regions, which is fine for most merchants but locks you to Shopify's choices (https://www.shopify.com/security). **Describely** is SOC 2 Type II certified with US-only processing on standard plans and EU residency on Enterprise (https://describely.ai/security) — call out the residency requirement explicitly before signing or you will end up renegotiating.

**Hypotenuse AI** offers SOC 2 Type II with both EU and US data center options on Enterprise (https://www.hypotenuse.ai/security), which makes it one of the easier picks for EU-headquartered brands. **Copy.ai** and **Writesonic** are both SOC 2 Type II but default to US processing; EU residency requires Enterprise plans on both, with custom DPAs (https://www.copy.ai/security). **Bertha AI** is the weakest link — as a WordPress plugin it inherits the security posture of whatever host runs your WordPress site, and the plugin itself does not publish a SOC 2 report.

The DIY API path is the most controllable. **OpenAI** Enterprise offers SOC 2 Type II, HIPAA BAAs, zero-data-retention agreements, and EU data residency through Azure OpenAI (https://openai.com/enterprise-privacy). **Anthropic Claude** offers SOC 2 Type II, HIPAA on Enterprise, and explicit EU data residency on Enterprise plans (https://www.anthropic.com/legal). For both, the standard API plan retains data for 30 days for abuse monitoring but does not train on your inputs — verify this in your DPA before generating descriptions on customer-sensitive data.

The non-obvious risk: every SaaS on this list except Shopify Magic sends your product data, brand voice samples and possibly customer reviews to a third-party processor that then calls OpenAI or Anthropic on your behalf. That is two hops, two DPAs, two breach surfaces. If your security team requires single-vendor processing chains, the DIY API path is the only clean answer — you sign one DPA with OpenAI or Anthropic, you control the data flow, and you can point to a single processor in your privacy policy. This matters more than security teams usually flag at procurement.

Practical rule of thumb: if you process under 1,000 EU customer records, any tool here with SOC 2 Type II is defensible. If you process more, or you are in a regulated category (health, finance, kids), put EU residency, zero-data-retention and HIPAA on your RFP requirements list before you shortlist. That eliminates **Bertha AI** and constrains **Copy.ai**, **Writesonic**, **Shopify Magic** and standard-tier **Describely** to Enterprise plans. The remaining shortlist is **Hypotenuse** Enterprise, **Describely** Enterprise, **OpenAI** Enterprise and **Anthropic** Enterprise — and at that point you are comparing $500–$2,000/mo contracts, not $20 SaaS sticker prices.

None of the eight commercial tools support self-hosting. Even the DIY API path with **OpenAI** or **Anthropic** is third-party-hosted, just at a lower abstraction. The genuine self-hosted option is an open-weight model — Llama 3.3 70B, Qwen 2.5 72B, Mistral Large — served on your own GPU infrastructure or a managed inference provider like Together AI, Fireworks, or Replicate (https://www.together.ai/pricing). For most ecom teams this is overkill, but the math is worth understanding because it sets a price ceiling on the SaaS market.

On Together AI, Llama 3.3 70B Instruct runs $0.88/M input and output tokens (https://www.together.ai/pricing). That is ~$0.0004 per 150-word description — competitive with **OpenAI GPT-4o-mini** Batch and slightly more expensive than GPT-4o-mini realtime. Quality is comparable to GPT-4o-mini for product description work in our internal tests, but the operational overhead (you own the inference reliability, the rate limits, the model versioning) makes it a poor choice for teams that just want descriptions written.

Fully self-hosted on your own A100 or H100 GPUs is a different conversation. A single H100 instance on AWS p5.48xlarge runs ~$98/hour (https://aws.amazon.com/ec2/instance-types/p5), or $70,000/month reserved. At 1 second per description generation, that is theoretically 2.6 million descriptions per month at $0.027 each — vastly more expensive than the API path unless you are running a workload that justifies the dedicated hardware (millions of descriptions per month, plus other inference jobs).

The case for self-hosting in 2026 is narrower than it was in 2024. Token prices on the frontier APIs have fallen ~80% in two years, and the operational burden of running your own inference stack has not. For ecom description generation specifically, we have not seen a brand where self-hosting beats the API path on TCO under 100M descriptions per year. That is not a constraint anyone in this market hits.

The honest recommendation: if you care about data sovereignty enough to consider self-hosting, the right answer is **OpenAI Enterprise** or **Anthropic Enterprise** with EU residency and zero-data-retention, not running your own Llama instance. You get 99.9% of the data-control benefit at 5% of the operational burden. Use the AI Shopify app cost calculator to compare TCO of the SaaS bundle against the DIY API path before you commit to either direction.

**Shopify Magic** wins for any Shopify merchant under 250 SKUs/month with no engineering team. It is free in the plan, the quality is fine, and any other tool on this list is over-tooling for that volume. It breaks down the moment you need bulk runs, multilingual output, or compliance guardrails — at which point you graduate to Describely or Hypotenuse depending on language needs (https://www.shopify.com/magic).

**Describely** Premium at $89/mo is the right answer for mid-market Shopify, BigCommerce or WooCommerce brands running 500–5,000 SKUs/month with English-first catalogs (https://describely.ai/pricing). At $0.089/SKU it is the cheapest unit cost on the SaaS list, and the brand-voice + glossary lock makes it the cheapest off-the-shelf compliance workflow. It breaks down if you need 10,000+ SKUs/month (Enterprise quote required) or non-English markets (Hypotenuse is stronger).

**Hypotenuse AI** Teams at $59/mo is the multilingual pick (https://www.hypotenuse.ai/pricing). If you sell into Germany, France, Japan or any combination of 3+ languages, the per-language quality is meaningfully better than running Describely output through a translation pass. It breaks down on pure English-only catalogs where you are paying for the localization features you do not use — Describely is cheaper per SKU.

**Copy.ai** Advanced at $186/mo and **Writesonic** Small Team at $20/mo are only the right pick if product descriptions are a small slice of a broader content workload that includes email, ads and landing pages. For pure description work, both are overpriced. **Bertha AI** is the right answer for WordPress/WooCommerce solos under 500 SKUs — and the wrong answer for everyone else, because the WordPress-only architecture is a hard ceiling.

**OpenAI GPT-4o-mini** Batch API at $0.0004/SKU and **Anthropic Claude Haiku 4.5** at $0.0025/SKU are the right answer for engineering-led brands at 5,000+ SKUs/month or for anyone refreshing a full catalog quarterly. The $10,000 build cost amortizes over the first 12 months against ~$60,000 in saved SaaS fees at typical mid-market volumes. The break-down case is small catalogs and lean teams where the build cost never amortizes — for that profile, pay Describely $89/mo and move on. Model the volume in our OpenAI API cost calculator before you assume the API path saves you money; the answer depends on your exact catalog size and refresh cadence.