Midjourney V8 vs OpenArt/gpt-image-2: Which Actually Kills Photoshop Text Fixes?

The April version of this article said Midjourney V8 Alpha made the Photoshop text step optional.

That was too confident.

The real June 25 question is narrower and more useful: when you need readable text inside an AI image, should you trust Midjourney V8 to render it natively, or should you generate the image first and repair only the text with an editor such as OpenArt using gpt-image-2?

For operators, the answer is not one model. It is a workflow.

What Changed Since April

The original claim was built around three points:

• V8 Alpha access at alpha.midjourney.com
• better text rendering inside images
• a rough 20-second generation claim from April coverage

By June 25, that is stale for production decisions.

I am removing the strong "20-second Photoshop killer" framing for three reasons:

1. AutoKaam does not have a fresh June 25 V8 test run to confirm current speed, default status, or model access. Midjourney's own update notes confirm that V8.1 became the default model on June 11, 2026, and V8.0 is expected to be discontinued. If you are testing Midjourney today, V8.1 is likely what you are running, not V8.0 Alpha.
2. A newer live workflow claims around 10 seconds for text repair using Nano Banana Pro, OpenArt, and gpt-image-2.
3. The hard production pain is not making pretty text once. It is fixing one wrong letter without destroying the rest of the image.

That last point is where repair pipelines matter.

The New Workflow to Compare Against V8

The sharper workflow now looks like this:

1. Generate the image in your preferred image model.
2. Use Nano Banana Pro or another image model for the base composition if it gives you the best look.
3. Open the image in OpenArt.
4. Use gpt-image-2 only for text repair.
5. Prompt it with the constraint: fix only the text, keep everything else.

That sentence is the whole point.

Most failed AI design workflows die because the second pass redraws the product, face, background, logo placement, lighting, or camera angle. A usable text-fix workflow must preserve the composition and touch only the broken typography.

A safer expanded prompt for client work:

Fix only the text, keep everything else. Replace the visible text with "YOUR FINAL COPY". Preserve the composition, product shape, colors, lighting, camera angle, background, logo position, and texture. Do not redraw non-text areas.

Use the short prompt when testing. Use the expanded prompt when the image already has approved art direction.

Dated Benchmark Table

These are not AutoKaam lab results. This is the current decision table based on the April article and the June 25 editorial review.

Workflow	Timing claim available to us	Date tied to claim	What to trust	What not to trust
Midjourney V8 Alpha native text	about 20 seconds for a generation grid in the April article	2026-04-08	Useful as an April reference point	Do not treat as current speed without a fresh run
Nano Banana Pro to OpenArt to gpt-image-2 text repair	about 10 seconds reported by a live April 22 workflow	2026-04-22	Useful as a serious competing workflow	Do not treat as AutoKaam-tested proof
Manual Photoshop text correction	30 to 60 minutes claimed in the competing workflow hook	2026-04-22	Believable for messy old client work	Depends on asset quality and designer speed

The production takeaway is simple: V8 may reduce the number of Photoshop trips. Text repair may remove more of them.

Native Text vs Text Repair

Decision point	Midjourney V8 native text	OpenArt/gpt-image-2 text repair pipeline
Best use	Fresh concepts where text is part of the generated art	Fixing wrong text after the image direction is approved
Main risk	Wrong letters baked into an otherwise strong image	Repair pass changes parts of the image it should not touch
Prompt style	Ask for the full image and text together	Ask for text-only correction and composition preservation
Best for one-line English	Potentially strong	Strong if the base image is already good
Best for multi-line copy	Risk rises fast	Better, but still needs review
Best for packaging	Good for mockups	Better for final-looking mockups, not a substitute for print-ready design
Best for logos	Risky	Risky unless the logo text is simple and reviewed
Best for Indian scripts	Do not assume accuracy	Do not assume accuracy
Client delivery	Use after visual and language review	Use after before-after check and language review

If your image has no approved composition yet, try V8 natively.

If your image is already approved and only the text is wrong, repair the text. Do not regenerate the whole image unless you are ready to lose details.

Practical Workflow for Preserving Composition

Use this when the image is 80 percent approved and only the text is broken.

Step 1: Lock the base image

Save the image you are fixing. Do not keep regenerating during the text stage.

Name it clearly:

client-product-poster-base-v01.png

Step 2: Mark the exact text

Write the final copy outside the image tool first. Do not improvise inside the prompt box.

Example:

SUMMER SALE

or

Fresh Mango Drink

or

50% OFF TODAY

Short copy wins. Long copy creates more failure points.

Step 3: Run the text-only repair prompt

Use:

fix only the text, keep everything else.

Then add the replacement text:

Replace the visible text with "SUMMER SALE".

If the tool allows masking, mask only the text area. If it does not, the prompt must be stricter.

Step 4: Compare before and after

Check these items before sending to a client:

• Did the product shape change?
• Did the face or hand change?
• Did the background shift?
• Did the brand color move?
• Did the font style change in a useful way?
• Is every letter readable?
• Is the text correct at mobile thumbnail size?

If anything outside the text changed, reject the output.

Test Matrix Before Client Use

AutoKaam has not logged a fresh June 25 test grid for V8, OpenArt, or gpt-image-2 across Indian scripts. So this section is a production checklist, not a result claim.

Run this before using any of these workflows for paid work.

Script or language	One-line headline	Multi-line copy	Logo text	Packaging label	Poster text	Native review needed
English	Test	Test	Test	Test	Test	Yes for brand work
German	Test, include long words and umlauts	Test	Test	Test	Test	Yes
Hindi	Test	Test	Test	Test	Test	Yes, native reader
Tamil	Test	Test	Test	Test	Test	Yes, native reader
Telugu	Test	Test	Test	Test	Test	Yes, native reader

For each cell, save:

• prompt
• model or tool used
• input image
• output image
• pass or fail
• reason for failure
• reviewer name or role

Do not mark Indian-script output as passed because it "looks right". It must read right.

Prompt Examples to Run

Midjourney V8 native text test

Use this type of prompt when you want the model to create the whole image with text included:

A clean product poster for a mango drink bottle on a yellow studio background, large readable headline text "FRESH MANGO DRINK", premium FMCG advertising style, sharp typography, centered composition

Then inspect the letters.

If the image is beautiful but the text is wrong, stop asking for full regenerations. Move to repair.

Text repair test

Use this after you already have an image:

fix only the text, keep everything else. Replace the visible headline with "FRESH MANGO DRINK". Preserve the bottle, background, lighting, colors, shadows, and composition. Do not redraw non-text areas.

Reject any output where the bottle, label, or layout changes.

German text test

fix only the text, keep everything else. Replace the visible headline with "Frischer Apfelsaft". Preserve all non-text areas.

German is a useful Latin-script stress test because longer words and special characters expose weak text handling.

Indian-script test

Use final approved copy from a native speaker. Do not rely on model translation inside the image prompt.

Keep the prompt structure the same:

fix only the text, keep everything else. Replace the visible headline with "[approved text]". Preserve all non-text areas.

Then send the output back to the same native reviewer.

Indian Market Reality

For Indian designers, the value is obvious: posters, marketplace images, YouTube thumbnails, D2C packaging mockups, festival creatives, and local-language campaigns all need text inside images.

But Indian scripts raise the cost of being careless.

Hindi, Tamil, Telugu, and other scripts are not decorative marks. A one-letter error can make the asset unusable. For Indian-language work, AI image text should be treated like translated ad copy: useful draft, mandatory human review.

Use AI text rendering for:

• moodboards
• pitch options
• internal mockups
• social roughs
• fast layout exploration

Be careful with:

• final packaging
• sale banners
• medical, finance, or legal claims
• logo text
• regional-language ads
• print files

If a client can sue you over the words, do not let an image model be the final proofing layer.

Pricing Note for Indian Teams

The April article listed Midjourney tiers in USD with rounded INR conversions. I am not repeating those rupee figures as current billing guidance because card charges, tax, and exchange rates change.

Use this rule instead:

• If you only need concept art, a lower tier may be enough.
• If you create client options every week, budget for a paid image tool plus a repair tool.
• If text accuracy saves even one manual correction cycle per project, the repair workflow may pay for itself faster than a pure generation workflow.

For Indian studios, the real cost is not the subscription. It is revision time after the client spots a wrong letter.

What I Would Use Today

For concept posters: start with Midjourney V8 if it gives the best art direction.

For approved images with broken text: use OpenArt/gpt-image-2 style repair and constrain the edit to text only.

For Indian-language client work: use AI for drafts, then get a native reader to approve the final image.

For packaging: keep Illustrator, Photoshop, or your design tool in the final chain. AI mockups are not print-ready artwork.

FAQ

Is Midjourney V8 still the best choice for image quality?
It remains a strong choice for visual direction. This update only narrows the text claim. Image quality and text-fix reliability are separate decisions.

Does V8 remove Photoshop for text?
Sometimes for simple text. Not reliably enough to promise it across packaging, logos, posters, and Indian scripts.

What is the fastest workflow right now?
The fastest reported competing workflow is generate elsewhere, then use OpenArt with gpt-image-2 to repair only the text. AutoKaam has not independently timed it on June 25.

Should I use this for Hindi, Tamil, or Telugu ads?
Use it for drafts. Do not ship without native review.

What should I do if the repair changes the image?
Reject it. Tighten the prompt, mask only the text area if the tool supports it, or return to manual editing.

Getting Started

Open alpha.midjourney.com if you are testing Midjourney V8.0 access. Note: V8.1 became the default model on midjourney.com on June 11, 2026, and V8.0 is expected to be discontinued. Check the model selector inside your own account to confirm which version you are running.

For any text-heavy asset, keep a before-after record and use the same final copy across all tools. The model should not write your copy. It should only render approved copy.

See our Image Generation AI tools for comparisons with other options.

Related

• 5 agencies, 1 rule: Sora edits B-roll, not actors
• YouTube Shorts with Runway and Suno in Hindi

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Source: AutoKaam April coverage, alpha.midjourney.com, and June 25 editorial review of competing text-repair workflows.