Service «What's in the picture»: how to describe images and check outputs
The service «What's in the picture» helps describe visible details of an image and answer questions about it. The interface has text fields: the main one (up to 8000 characters) and for details (up to 1000 characters). You select the output language, press «Generate», and get one result in a separate panel. It can be copied or downloaded as a plain text TXT file. Vectors are available only in SVG and PNG, speech via eSpeak in WAV, subtitles in SRT. No DOCX or PDF export, batch processing, auto-save, integrations, settings panels, highlighting changes, special comparison modes, direct publishing, email delivery, document upload, premium plan, registration, speech voice cloning, photorealistic image generation, or audio/video generation. Model responses may contain errors; queue and availability vary. Keep the article focused on the tool's task, not generic AI.
Open tool: Image description ↗What exactly does the service «What's in the picture» do
The service «What's in the picture» solves one task: given an image and a text instruction, return text — a description of visible details or an answer to a question. You fill the main field (up to 8000 characters) and, if needed, the details field (up to 1000 characters), select the output language, and press «Generate». The result appears in a separate panel, it can be copied or downloaded as TXT. This is the entire cycle: there are no additional modes, comparisons, or change highlighting in the interface.
The key requirement for working with the service is distinguishing observation from inference. Observation records what is visible: objects, colors, location, presence of text. Inference is interpretation: a person's mood, an object's purpose, the cause of an event. Formulate your request so the service clearly separates these layers. For example: «List visible objects and their colors. Separately indicate which statements are assumptions». This way you immediately see where fact ends and guesswork begins.
Formats are limited: vectors only SVG and PNG, speech WAV via eSpeak, subtitles SRT. Image accepted up to 4 MB, audio up to 20 MB or 5 minutes, text up to 8000 characters in the first field and up to 1000 in the details field. The service does not recognize text as a document, does not save history, and does not publish results. Therefore it is reasonable to use it where a quick textual draft about a picture is needed, not ready documentation.
Example request: «Describe visible objects, their colors, and their arrangement. Separately list what is an observation and what is an assumption».
Which parts of the task can be delegated to the service
Listing details initially is the safest part for delegation. The service can name objects, their colors, and their order of arrangement: «laptop, cup, notebook, pen, lamp; laptop silver, white cup, notebook with green cover». This is routine work that is easy to verify by comparing the text with the image. If details are small or the image quality is low, the chance of error is higher, so verification is mandatory.
Answers to clearly formulated questions — the second suitable task. Formulate them specifically: «How many people are in the image?», «What color is the car on the left?», «Is there any text in the picture?». The service will return a text answer, which you verify against the picture. Do not ask for legal, medical, or financial assessment based on the image: this goes beyond describing visible details and increases the risk of error.
The third task — helping to formulate an inference, when you already understand what you see but cannot find the words. For example: «Describe what the person is doing and guess what their goal is». The service will propose a draft text that you will edit to your context. This speeds up work, but does not replace your judgment: the final formulation remains with you.
Example: «On the image there are three people at a table. Two are looking at a laptop, one is holding a pen. Colors: blue chairs, white table, gray walls. Text on the board is illegible».
What must be checked manually
Check the accuracy of observations. The service may make a mistake in color, number of objects, or their location: call a stool a chair, confuse shades, swap left and right. Always compare the text with the original image, especially small details — text, logos, facial expressions. If the image is low quality or overloaded with elements, the risk of error increases, and verification takes more time.
Separate observation from inference. The service may mix them in one sentence: «The person looks tired» is an inference, not an observation. Decide whether such an inference is appropriate in your context. For official documents, leave only observations. For artistic text, inferences are useful but should be correlated with the intent and, if necessary, rephrased.
Consider format and volume limitations. Image up to 4 MB, audio up to 20 MB or 5 minutes, text up to 8000 characters in the main field and up to 1000 in the details field. No batch processing: each file is loaded and processed separately. No auto-save: the result must be copied or downloaded to TXT manually. This affects how you integrate the service into your process.
Verification: the service wrote «a red book lies on the table». You open the image and see that the book is blue. You correct the error manually.
When the service is not suitable
Do not use the service where guaranteed accuracy is required: medical images, legal documents, financial reports. An error in these areas can have serious consequences, and the service does not provide guarantees and may make mistakes. It is also not intended for generating photorealistic images, audio, or video — this is not its task.
The service is not suitable for large volumes of images. The absence of batch processing and integrations means that each file must be loaded and processed separately, and the result copied manually. If you have hundreds of images, the time for manual operations becomes unacceptable, and you should consider other tools.
The service is not suitable if you need to extract text from an image and edit it as a document. There is no OCR in proofreading mode, no DOCX or PDF export. You will get only a text description that can be downloaded as TXT. If the task is to preserve the formatting of the original text, the tool will not cope.
Situation: you need to process 500 product photos for a catalog. The service is not suitable due to the absence of batch processing.
Practical example: describing an image for an article
Suppose you are writing an article about handicrafts and AI and want to illustrate it with a photo of a workplace: table, laptop, coffee cup, notebook with a pen, a lamp. You upload the image to the service «What's in the picture» and enter a request: «Describe main objects, their colors, and their arrangement. Separately indicate what is visible exactly, what is an assumption». The service returns text: «On the table stands a silver laptop, to the right of it — a white cup with coffee, to the left — a notebook with a green cover and a pen. Behind — a lamp with warm light. Everything is located on a wooden surface. Presumably, this is a workplace».
You check the description: everything is correct except the arrangement — the cup actually stands on the left, the notebook on the right. You correct it. Then you ask: «Formulate a conclusion about what the person at this workplace is doing». The service answers: «Probably, the person works at a laptop, possibly types text or programs. The presence of a notebook and a pen suggests he is taking notes». You use this conclusion as a draft and edit it to the style of the article.
In the end you get a ready description that saves time. But you do not trust the service completely: you manually verified the arrangement of objects and corrected the conclusion. This example shows a working scheme: the service gives a draft, you — final verification and editing.
Request: «Describe main objects, colors and arrangement. What is visible exactly, what is an assumption?» Result: text description that you edit.
How to integrate the service into the workflow
Determine the stage at which the service is useful. It works best at the information gathering stage: you upload an image and get a rough description. Then at the editing stage you verify and supplement it. Do not use the service at the final stage without verification — this increases the risk of error in the finished text.
Keep a log of requests and results. Since history is not saved, record successful formulations and typical errors. If the service often confuses left and right, add a clarification to the request: «Indicate the arrangement of objects relative to each other». If you need text in another language, use the language selection feature.
Remember the limitations: file size, absence of batch processing, manual copying. For large volumes of images, combine tools or choose another solution. For small tasks, where speed and flexibility are important, «What's in the picture» suits as a quick assistant for rough description.
Tip: save successful requests in a separate file to reuse them.
The service «What's in the picture» — a tool for describing visible details of an image and answering questions about it. It speeds up routine work, but requires manual verification. Delegate its primary description and rough conclusion formulation, always verify the result against the original image. Consider limitations: no batch processing, no DOCX/PDF export, no auto-save, no integrations; image up to 4 MB, text up to 8000 characters in the main field and up to 1000 in the details field. Do not apply the service where guaranteed accuracy is required. All examples in the article are fictional and provided for illustration. The best result comes from combining manual work and AI, when you control the process and are responsible for the final text.
Open tool: Image description ↗Interface translations are machine-assisted and may need refinement.