Describe Image (DI) is the third speaking task type in Section 1 of the PTE Academic, appearing 3 to 4 times. Unlike Read Aloud and Repeat Sentence, which test integrated skills (Reading and Listening), Describe Image contributes points solely to your Speaking score.
Candidates are presented with a graphic prompt—such as a bar chart, line graph, pie chart, table, process diagram, map, or composite infographic. You are given precisely 25 seconds to study the image, after which a short tone sounds, and you have up to 40 seconds to deliver a structured oral description.
Because human examiners do not evaluate this task, success does not depend on deep economic analysis or exhaustive data interpretation. Success depends entirely on feeding the Pearson acoustic and NLP scoring engines what they expect: unbroken oral fluency, phonological clarity, key topical terminology, and high/low data comparisons structured within a repeatable delivery template.
The interface for Describe Image follows an automated countdown sequence:
| Phase | Duration | System State & Candidate Action |
|---|---|---|
| 1. Preparation | 25 seconds | “Current Status: Beginning in X seconds…” Identify title, axes, highest/lowest units. |
| 2. Audio Alert | ~0.5 second | A short BEEP sounds at second 25. |
| 3. Microphone Live | 40 seconds | Status switches to “Recording”. Deliver template-driven oral summary. |
Describe Image is scored on a maximum of 15 points per item across three traits:
| Scoring Trait | Points | Algorithmic Evaluation Focus |
|---|---|---|
| 1. Content | 0 to 5 pts | Mentions title, axes/units, key trends, max/min values, and a concluding overview. |
| 2. Oral Fluency | 0 to 5 pts | Rhythm, continuity, steady pace (120–140 wpm). ZERO pauses, stumbles, or self-corrections. |
| 3. Pronunciation | 0 to 5 pts | Vowel/consonant accuracy, syllable stress, absence of mumbling or breath pops. |
The scoring engine evaluates whether your acoustic stream contains key vocabulary extracted from the image:
Crucial Engine Rule: If your Content score registers as 0 (e.g., remaining silent or speaking on a completely irrelevant topic), the algorithm automatically zeroes out your Fluency and Pronunciation scores as well. However, once you mention 3 to 4 relevant keywords from the screen, you pass the content threshold and unlock full points for Fluency and Pronunciation.
Do not attempt to read every number or calculate complex percentages during your 25-second preparation window. Execute the 4-Point Scan:
| Step | Time Window | Action Protocol |
|---|---|---|
| Step 1: Read the Title & Units | Seconds 01–08 | Read the headline/title aloud in a whisper to prime your articulation. Note the unit of measurement (percentages, metric tons, degrees Celsius). |
| Step 2: Identify Extremes | Seconds 09–18 | Locate the absolute highest bar, peak, or segment. Note its label. |
| Step 3: Pick One Category / Trend | Seconds 19–25 | Locate the absolute lowest bar, trough, or segment. Take a steady breath, look directly at your opening line, and wait for the beep. |
To maintain unbroken fluency at 120–140 words per minute across any visual without freezing, apply the Patel PTE Universal Image Template:
| Template Section | Target Timing | Standard Delivery Phrasing |
|---|---|---|
| 1. Introduction | 0:00 – 0:08 | “The given [chart type] provides detailed information about [Title / Topic], measured in [Units].” |
| 2. Highest Value | 0:08 – 0:16 | “Looking at the significant trends, it is evident that the highest figure is observed in [Category A], reaching approximately [Value A].” |
| 3. Lowest Value / Contrast | 0:16 – 0:24 | “Conversely, the lowest value is seen in [Category B], which stands at roughly [Value B], followed by moderate numbers in [Category C].” |
| 4. Conclusion / Overview | 0:24 – 0:32 | “In conclusion, it can be clearly seen that [Category A] accounts for the dominant share throughout the period.” |
| Trap Category | Candidate Mistake | What the AI Engine Expects |
|---|---|---|
| Speaking Before Tone | Talking during the preparation stage; the first sentence is never recorded. | Waiting for the electronic beep, then starting immediately. |
| Number Overload | Attempting to read 10 different exact statistics (“34.5%, 12.8%, 91.2%”), causing stumbles. | Stating 1 or 2 approximate figures (“approximately 40%”); prioritizing smooth speech over raw data density. |
| Self-Correction | Correcting a misread label (“in France, sorry, in Germany”). | Continuing smoothly without pausing. The AI penalizes hesitation far more than an inaccurate data read. |
| Speaking to 40.0s | Getting cut off mid-sentence while delivering the conclusion. | Completing the conclusion smoothly by second 30–33 and clicking [Next]. |